Merge remote-tracking branch 'upstream/master' into globally-fix-buttons-transitioning-without-going-unpressed

pull/26463/head
Shane Smiskol 2 years ago
commit 85dea93e8a
  1. 2
      .github/workflows/selfdrive_tests.yaml
  2. 2
      .github/workflows/tools_tests.yaml
  3. 1
      .gitignore
  4. 2
      Dockerfile.openpilot_base_cl
  5. 31
      Jenkinsfile
  6. 26
      RELEASES.md
  7. 18
      SConstruct
  8. 2
      body
  9. 2
      cereal
  10. 1
      common/params.cc
  11. 2
      common/version.h
  12. 29
      docs/CARS.md
  13. 2
      docs/INTEGRATION.md
  14. 2
      opendbc
  15. 2
      panda
  16. 43
      poetry.lock
  17. 2
      pyproject.toml
  18. 14
      release/files_common
  19. BIN
      selfdrive/assets/fonts/JetBrainsMono-Medium.ttf
  20. 4
      selfdrive/assets/img_couch.svg
  21. 10
      selfdrive/assets/img_experimental.svg
  22. 4
      selfdrive/assets/img_experimental_grey.svg
  23. 4
      selfdrive/assets/img_experimental_white.svg
  24. 3
      selfdrive/boardd/boardd.cc
  25. 67
      selfdrive/boardd/panda.cc
  26. 13
      selfdrive/boardd/panda.h
  27. 3
      selfdrive/boardd/panda_comms.h
  28. 25
      selfdrive/boardd/spi.cc
  29. 21
      selfdrive/boardd/tests/test_boardd_usbprotocol.cc
  30. 11
      selfdrive/car/body/interface.py
  31. 13
      selfdrive/car/body/values.py
  32. 15
      selfdrive/car/chrysler/interface.py
  33. 1
      selfdrive/car/docs.py
  34. 10
      selfdrive/car/docs_definitions.py
  35. 13
      selfdrive/car/ford/interface.py
  36. 4
      selfdrive/car/gm/carstate.py
  37. 29
      selfdrive/car/gm/interface.py
  38. 30
      selfdrive/car/gm/values.py
  39. 20
      selfdrive/car/honda/carcontroller.py
  40. 9
      selfdrive/car/honda/interface.py
  41. 55
      selfdrive/car/honda/values.py
  42. 10
      selfdrive/car/hyundai/carcontroller.py
  43. 10
      selfdrive/car/hyundai/carstate.py
  44. 3
      selfdrive/car/hyundai/hyundaican.py
  45. 34
      selfdrive/car/hyundai/interface.py
  46. 72
      selfdrive/car/hyundai/values.py
  47. 45
      selfdrive/car/interfaces.py
  48. 6
      selfdrive/car/isotp_parallel_query.py
  49. 10
      selfdrive/car/mazda/interface.py
  50. 33
      selfdrive/car/mock/interface.py
  51. 20
      selfdrive/car/nissan/interface.py
  52. 14
      selfdrive/car/subaru/interface.py
  53. 8
      selfdrive/car/subaru/values.py
  54. 8
      selfdrive/car/tesla/interface.py
  55. 4
      selfdrive/car/tesla/values.py
  56. 5
      selfdrive/car/tests/routes.py
  57. 2
      selfdrive/car/tests/test_car_interfaces.py
  58. 18
      selfdrive/car/tests/test_models.py
  59. 10
      selfdrive/car/torque_data/override.yaml
  60. 6
      selfdrive/car/torque_data/params.yaml
  61. 3
      selfdrive/car/torque_data/substitute.yaml
  62. 20
      selfdrive/car/toyota/carstate.py
  63. 37
      selfdrive/car/toyota/interface.py
  64. 15
      selfdrive/car/toyota/values.py
  65. 46
      selfdrive/car/volkswagen/carstate.py
  66. 13
      selfdrive/car/volkswagen/interface.py
  67. 1
      selfdrive/car/volkswagen/pqcan.py
  68. 35
      selfdrive/car/volkswagen/values.py
  69. 79
      selfdrive/controls/controlsd.py
  70. 149
      selfdrive/controls/lib/drive_helpers.py
  71. 18
      selfdrive/controls/lib/events.py
  72. 4
      selfdrive/controls/lib/longcontrol.py
  73. 2
      selfdrive/controls/lib/longitudinal_mpc_lib/long_mpc.py
  74. 16
      selfdrive/controls/lib/longitudinal_planner.py
  75. 127
      selfdrive/controls/tests/test_cruise_speed.py
  76. 9
      selfdrive/controls/tests/test_following_distance.py
  77. 6
      selfdrive/controls/tests/test_state_machine.py
  78. 2
      selfdrive/debug/test_fw_query_on_routes.py
  79. 1
      selfdrive/locationd/laikad.py
  80. 12
      selfdrive/locationd/liblocationd.cc
  81. 75
      selfdrive/locationd/locationd.cc
  82. 9
      selfdrive/locationd/locationd.h
  83. 4
      selfdrive/locationd/torqued.py
  84. 1
      selfdrive/loggerd/loggerd.h
  85. 1
      selfdrive/loggerd/tests/test_logger.cc
  86. 4
      selfdrive/manager/process_config.py
  87. 6
      selfdrive/manager/test/test_manager.py
  88. 5
      selfdrive/modeld/SConscript
  89. 6
      selfdrive/modeld/models/commonmodel.h
  90. 5
      selfdrive/modeld/models/driving.cc
  91. 66
      selfdrive/modeld/models/nav.cc
  92. 73
      selfdrive/modeld/models/nav.h
  93. 3
      selfdrive/modeld/models/navmodel.onnx
  94. 3
      selfdrive/modeld/models/navmodel_q.dlc
  95. 12
      selfdrive/modeld/navmodeld
  96. 59
      selfdrive/modeld/navmodeld.cc
  97. 15
      selfdrive/monitoring/driver_monitor.py
  98. 8
      selfdrive/monitoring/test_monitoring.py
  99. 43
      selfdrive/navd/map_renderer.cc
  100. 3
      selfdrive/navd/map_renderer.py
  101. Some files were not shown because too many files have changed in this diff Show More

@ -7,7 +7,7 @@ on:
pull_request:
concurrency:
group: ${{ github.workflow }}-${{ github.ref != 'refs/heads/master' && github.ref || github.run_id }}-${{ github.event_name }}
group: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' && github.run_id || github.head_ref || github.ref }}-${{ github.workflow }}-${{ github.event_name }}
cancel-in-progress: true
env:

@ -7,7 +7,7 @@ on:
pull_request:
concurrency:
group: ${{ github.workflow }}-${{ github.ref != 'refs/heads/master' && github.ref || github.run_id }}-${{ github.event_name }}
group: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' && github.run_id || github.head_ref || github.ref }}-${{ github.workflow }}-${{ github.event_name }}
cancel-in-progress: true
env:

1
.gitignore vendored

@ -52,6 +52,7 @@ selfdrive/sensord/_sensord
system/camerad/camerad
system/camerad/test/ae_gray_test
selfdrive/modeld/_modeld
selfdrive/modeld/_navmodeld
selfdrive/modeld/_dmonitoringmodeld
/src/

@ -17,7 +17,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends\
# Intel OpenCL driver
ARG INTEL_DRIVER=l_opencl_p_18.1.0.015.tgz
ARG INTEL_DRIVER_URL=http://registrationcenter-download.intel.com/akdlm/irc_nas/vcp/15532
ARG INTEL_DRIVER_URL=https://registrationcenter-download.intel.com/akdlm/irc_nas/vcp/15532
RUN mkdir -p /tmp/opencl-driver-intel
WORKDIR /tmp/opencl-driver-intel
RUN echo INTEL_DRIVER is $INTEL_DRIVER && \

31
Jenkinsfile vendored

@ -59,7 +59,7 @@ pipeline {
branch 'devel-staging'
}
steps {
phone_steps("tici", [
phone_steps("tici-needs-can", [
["build release3-staging & dashcam3-staging", "PUSH=1 $SOURCE_DIR/release/build_release.sh"],
])
}
@ -111,28 +111,36 @@ pipeline {
R3_PUSH = "${env.BRANCH_NAME == 'master' ? '1' : ' '}"
}
steps {
phone_steps("tici", [
phone_steps("tici-needs-can", [
["build master-ci", "cd $SOURCE_DIR/release && TARGET_DIR=$TEST_DIR EXTRA_FILES='tools/' ./build_devel.sh"],
["build openpilot", "cd selfdrive/manager && ./build.py"],
["check dirty", "release/check-dirty.sh"],
["test manager", "python selfdrive/manager/test/test_manager.py"],
["onroad tests", "cd selfdrive/test/ && ./test_onroad.py"],
["test car interfaces", "cd selfdrive/car/tests/ && ./test_car_interfaces.py"],
])
}
}
stage('loopback-tests') {
agent { docker { image 'ghcr.io/commaai/alpine-ssh'; args '--user=root' } }
steps {
phone_steps("tici-loopback", [
["build openpilot", "cd selfdrive/manager && ./build.py"],
["test boardd loopback", "python selfdrive/boardd/tests/test_boardd_loopback.py"],
])
}
}
stage('HW + Unit Tests') {
agent { docker { image 'ghcr.io/commaai/alpine-ssh'; args '--user=root' } }
steps {
phone_steps("tici2", [
phone_steps("tici-common", [
["build", "cd selfdrive/manager && ./build.py"],
["test power draw", "python system/hardware/tici/test_power_draw.py"],
["test boardd loopback", "python selfdrive/boardd/tests/test_boardd_loopback.py"],
["test loggerd", "python selfdrive/loggerd/tests/test_loggerd.py"],
["test encoder", "LD_LIBRARY_PATH=/usr/local/lib python selfdrive/loggerd/tests/test_encoder.py"],
["test sensord", "python selfdrive/sensord/tests/test_sensord.py"],
["test pigeond", "python selfdrive/sensord/tests/test_pigeond.py"],
["test manager", "python selfdrive/manager/test/test_manager.py"],
])
}
}
@ -159,27 +167,32 @@ pipeline {
}
}
stage('sensord (LSM-C)') {
stage('sensord') {
agent { docker { image 'ghcr.io/commaai/alpine-ssh'; args '--user=root' } }
steps {
phone_steps("tici-lsmc", [
["build", "cd selfdrive/manager && ./build.py"],
["test sensord", "cd selfdrive/sensord/tests && python -m unittest test_sensord.py"],
])
phone_steps("tici-bmx-lsm", [
["build", "cd selfdrive/manager && ./build.py"],
["test sensord", "cd selfdrive/sensord/tests && python -m unittest test_sensord.py"],
])
}
}
stage('replay') {
agent { docker { image 'ghcr.io/commaai/alpine-ssh'; args '--user=root' } }
steps {
phone_steps("tici3", [
phone_steps("tici-common", [
["build", "cd selfdrive/manager && ./build.py"],
["model replay", "cd selfdrive/test/process_replay && ./model_replay.py"],
])
}
}
}
}
}
}
}

@ -1,35 +1,43 @@
Version 0.8.17 (2022-11-21)
Version 0.9.1 (2022-12-XX)
========================
* Adjust alert volume using ambient noise level
* Removed driver monitoring timer resetting on interaction if face detected and distracted
* Chevrolet Bolt EV 2022-23 support thanks to JasonJShuler!
* Hyundai Tucson 2022-23 support
* Kia Sorento Plug-in Hybrid 2022 support thanks to sunnyhaibin!
Version 0.9.0 (2022-11-21)
========================
* New driving model
* Internal feature space information content increased tenfold during training (to ~700 bits), which makes the model dramatically more accurate
* Internal feature space information content increased tenfold during training to ~700 bits, which makes the model dramatically more accurate
* Less reliance on previous frames makes model more reactive and snappy
* Trained in new reprojective simulator
* Trained in 36hrs from scratch, compared to one week for previous releases
* Trained in 36 hours from scratch, compared to one week for previous releases
* Training now simulates both lateral and longitudinal behavior, which allows openpilot to slow down for turns, stop at traffic lights, and more in experimental mode
* Driver monitoring updates
* New bigger model with added end-to-end distracted trigger
* Reduced false positives during driver calibration
* Experimental driving mode
* End-to-end longitudinal control
* Stops for traffic lights and stop signs
* Slows down for turns
* openpilot defaults to chill mode, enable experimental in settings
* openpilot defaults to chill mode, enable experimental mode in settings
* Driver monitoring updates
* New bigger model with added end-to-end distracted trigger
* Reduced false positives during driver calibration
* Self-tuning torque controller: learns parameters live for each car
* Torque controller used on all Toyota, Lexus, Hyundai, Kia, and Genesis models
* UI updates
* Multi-language in navigation
* Matched speeds shown on car's dash
* Multi-language in navigation
* Improved update experience
* Border turns grey while overriding steering
* Bookmark events while driving; view them in comma connect
* New onroad visualization for experimental mode
* AGNOS 6
* tools: new and improved cabana thanks to deanlee!
* Experimental longitudinal support for Volkswagen, CAN-FD Hyundai, and new GM models
* Genesis GV70 2022-23 support thanks to zunichky and sunnyhaibin!
* Hyundai Santa Cruz 2021-22 support thanks to sunnyhaibin!
* Kia Sportage 2023 support thanks to sunnyhaibin!
* Kia Sportage Hybrid 2023 support thanks to sunnyhaibin!
* Kia Stinger 2022 support thanks to sunnyhaibin!
Version 0.8.16 (2022-08-26)
========================

@ -298,12 +298,15 @@ if arch == "Darwin":
qt_env["FRAMEWORKS"] += [f"Qt{m}" for m in qt_modules] + ["OpenGL"]
qt_env.AppendENVPath('PATH', os.path.join(qt_env['QTDIR'], "bin"))
else:
qt_env['QTDIR'] = "/usr"
qt_install_prefix = subprocess.check_output(['qmake', '-query', 'QT_INSTALL_PREFIX'], encoding='utf8').strip()
qt_install_headers = subprocess.check_output(['qmake', '-query', 'QT_INSTALL_HEADERS'], encoding='utf8').strip()
qt_env['QTDIR'] = qt_install_prefix
qt_dirs = [
f"/usr/include/{real_arch}-linux-gnu/qt5",
f"/usr/include/{real_arch}-linux-gnu/qt5/QtGui/5.12.8/QtGui",
f"{qt_install_headers}",
f"{qt_install_headers}/QtGui/5.12.8/QtGui",
]
qt_dirs += [f"/usr/include/{real_arch}-linux-gnu/qt5/Qt{m}" for m in qt_modules]
qt_dirs += [f"{qt_install_headers}/Qt{m}" for m in qt_modules]
qt_libs = [f"Qt5{m}" for m in qt_modules]
if arch == "larch64":
@ -406,10 +409,10 @@ if arch != "Darwin":
# build submodules
SConscript([
'cereal/SConscript',
'body/board/SConscript',
'panda/board/SConscript',
'cereal/SConscript',
'opendbc/can/SConscript',
'panda/SConscript',
])
SConscript(['third_party/SConscript'])
@ -439,9 +442,6 @@ if arch in ['x86_64', 'Darwin'] or GetOption('extras'):
Export('opendbc')
SConscript(['tools/cabana/SConscript'])
if GetOption('test'):
SConscript('panda/tests/safety/SConscript')
external_sconscript = GetOption('external_sconscript')
if external_sconscript:
SConscript([external_sconscript])

@ -1 +1 @@
Subproject commit 04aeb30ce0bb14759989cd374158233877e1e151
Subproject commit dc780f858c1ef641471d09b72569e199e3e10acb

@ -1 +1 @@
Subproject commit afafa0a2a537d775842ab2e1bf20cb9a33b34f9a
Subproject commit 7765176413c0bb14143fe2469d5390ea0ea61a1e

@ -103,6 +103,7 @@ std::unordered_map<std::string, uint32_t> keys = {
{"DisableLogging", CLEAR_ON_MANAGER_START | CLEAR_ON_IGNITION_ON},
{"DisablePowerDown", PERSISTENT},
{"ExperimentalMode", PERSISTENT},
{"ExperimentalModeConfirmed", PERSISTENT},
{"ExperimentalLongitudinalEnabled", PERSISTENT}, // WARNING: THIS MAY DISABLE AEB
{"DisableUpdates", PERSISTENT},
{"DisengageOnAccelerator", PERSISTENT},

@ -1 +1 @@
#define COMMA_VERSION "0.8.17"
#define COMMA_VERSION "0.9.1"

@ -4,7 +4,7 @@
A supported vehicle is one that just works when you install a comma three. All supported cars provide a better experience than any stock system.
# 214 Supported Cars
# 219 Supported Cars
|Make|Model|Supported Package|ACC|No ACC accel below|No ALC below|Steering Torque|Resume from stop|Harness|
|---|---|---|:---:|:---:|:---:|:---:|:---:|:---:|
@ -19,6 +19,7 @@ A supported vehicle is one that just works when you install a comma three. All s
|Audi|S3 2015-17|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
|Cadillac|Escalade ESV 2016[<sup>3</sup>](#footnotes)|Adaptive Cruise Control (ACC) & LKAS|openpilot|0 mph|6 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|OBD-II|
|Chevrolet|Bolt EUV 2022-23|Premier or Premier Redline Trim without Super Cruise Package|openpilot available[<sup>1</sup>](#footnotes)|3 mph|6 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|GM|
|Chevrolet|Bolt EV 2022-23|2LT Trim with Adaptive Cruise Control Package|openpilot available[<sup>1</sup>](#footnotes)|3 mph|6 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|GM|
|Chevrolet|Silverado 1500 2020-21|Safety Package II|openpilot available[<sup>1</sup>](#footnotes)|3 mph|6 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|GM|
|Chevrolet|Volt 2017-18[<sup>3</sup>](#footnotes)|Adaptive Cruise Control (ACC)|openpilot|0 mph|6 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|OBD-II|
|Chrysler|Pacifica 2017-18|Adaptive Cruise Control (ACC)|Stock|0 mph|9 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|FCA|
@ -60,8 +61,8 @@ A supported vehicle is one that just works when you install a comma three. All s
|Hyundai|Elantra Hybrid 2021-23|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai K|
|Hyundai|Genesis 2015-16|Smart Cruise Control (SCC)|Stock|19 mph|37 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai J|
|Hyundai|i30 2019|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai E|
|Hyundai|Ioniq 5 (with HDA II) 2022-23|Highway Driving Assist II|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai Q|
|Hyundai|Ioniq 5 (without HDA II) 2022-23|Highway Driving Assist|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai K|
|Hyundai|Ioniq 5 (with HDA II) 2022-23|Highway Driving Assist II|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai Q|
|Hyundai|Ioniq 5 (without HDA II) 2022-23|Highway Driving Assist|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai K|
|Hyundai|Ioniq Electric 2019|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai C|
|Hyundai|Ioniq Electric 2020|All|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai H|
|Hyundai|Ioniq Hybrid 2017-19|Smart Cruise Control (SCC)|Stock|0 mph|32 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai C|
@ -82,14 +83,16 @@ A supported vehicle is one that just works when you install a comma three. All s
|Hyundai|Sonata 2020-22|All|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai A|
|Hyundai|Sonata Hybrid 2020-22|All|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai A|
|Hyundai|Tucson 2021|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|19 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai L|
|Hyundai|Tucson 2022|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Hyundai|Tucson 2023|All|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Hyundai|Tucson Diesel 2019|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai L|
|Hyundai|Tucson Hybrid 2022|All|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Hyundai|Tucson Hybrid 2022|All|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Hyundai|Veloster 2019-20|Smart Cruise Control (SCC)|Stock|5 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai E|
|Jeep|Grand Cherokee 2016-18|Adaptive Cruise Control (ACC)|Stock|0 mph|9 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|FCA|
|Jeep|Grand Cherokee 2019-21|Adaptive Cruise Control (ACC)|Stock|0 mph|39 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|FCA|
|Kia|Ceed 2019|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai E|
|Kia|EV6 (with HDA II) 2022|Highway Driving Assist II|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai P|
|Kia|EV6 (without HDA II) 2022|Highway Driving Assist|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai L|
|Kia|EV6 (with HDA II) 2022|Highway Driving Assist II|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai P|
|Kia|EV6 (without HDA II) 2022|Highway Driving Assist|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai L|
|Kia|Forte 2019-21|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai G|
|Kia|K5 2021-22|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai A|
|Kia|Niro EV 2019|All|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai H|
@ -104,9 +107,11 @@ A supported vehicle is one that just works when you install a comma three. All s
|Kia|Seltos 2021|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai A|
|Kia|Sorento 2018|Advanced Smart Cruise Control|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai C|
|Kia|Sorento 2019|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai E|
|Kia|Sorento Plug-in Hybrid 2022-23|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai A|
|Kia|Sportage 2023|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Kia|Sportage Hybrid 2023|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Kia|Sportage Hybrid 2023|Smart Cruise Control (SCC)|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai N|
|Kia|Stinger 2018-20|Smart Cruise Control (SCC)|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai C|
|Kia|Stinger 2022|All|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai K|
|Kia|Telluride 2020-22|All|openpilot available[<sup>1</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Hyundai H|
|Lexus|CT Hybrid 2017-18|Lexus Safety System+|openpilot available[<sup>2</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Toyota|
|Lexus|ES 2019-22|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
@ -136,7 +141,7 @@ A supported vehicle is one that just works when you install a comma three. All s
|SEAT|Leon 2014-20|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
|Subaru|Ascent 2019-21|All|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
|Subaru|Crosstrek 2018-19|EyeSight Driver Assistance|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
|Subaru|Crosstrek 2020-21|EyeSight Driver Assistance|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
|Subaru|Crosstrek 2020-23|EyeSight Driver Assistance|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
|Subaru|Forester 2019-21|All|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
|Subaru|Impreza 2017-19|EyeSight Driver Assistance|Stock|0 mph|0 mph|[![star](assets/icon-star-empty.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
|Subaru|Impreza 2020-22|EyeSight Driver Assistance|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Subaru A|
@ -150,7 +155,7 @@ A supported vehicle is one that just works when you install a comma three. All s
|Škoda|Octavia 2015, 2018-19|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
|Škoda|Octavia RS 2016|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
|Škoda|Scala 2020|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533[<sup>9</sup>](#footnotes)|
|Škoda|Superb 2015-18|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
|Škoda|Superb 2015-22|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
|Toyota|Alphard 2019-20|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
|Toyota|Alphard Hybrid 2021|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
|Toyota|Avalon 2016|Toyota Safety Sense P|openpilot available[<sup>2</sup>](#footnotes)|19 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Toyota|
@ -164,7 +169,7 @@ A supported vehicle is one that just works when you install a comma three. All s
|Toyota|Camry 2018-20|All|Stock|0 mph[<sup>5</sup>](#footnotes)|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Toyota|
|Toyota|Camry 2021-22|All|openpilot|0 mph[<sup>5</sup>](#footnotes)|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
|Toyota|Camry Hybrid 2018-20|All|Stock|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Toyota|
|Toyota|Camry Hybrid 2021-22|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
|Toyota|Camry Hybrid 2021-23|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
|Toyota|Corolla 2017-19|All|openpilot available[<sup>2</sup>](#footnotes)|19 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-empty.svg)](##)|Toyota|
|Toyota|Corolla 2020-22|All|openpilot|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
|Toyota|Corolla Cross (Non-US only) 2020-23|All|openpilot|17 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|Toyota|
@ -224,8 +229,8 @@ A supported vehicle is one that just works when you install a comma three. All s
|Volkswagen|Touran 2017|Adaptive Cruise Control (ACC) & Lane Assist|openpilot available[<sup>1,8</sup>](#footnotes)|0 mph|0 mph|[![star](assets/icon-star-full.svg)](##)|[![star](assets/icon-star-full.svg)](##)|J533|
<a id="footnotes"></a>
<sup>1</sup>Experimental openpilot longitudinal control is available behind a toggle; the toggle is only available in non-release branches such as `master-ci`. Using openpilot longitudinal may disable Automatic Emergency Braking (AEB). <br />
<sup>2</sup>When the Driver Support Unit (DSU) is disconnected, openpilot Adaptive Cruise Control (ACC) will replace stock Adaptive Cruise Control (ACC). <b><i>NOTE: disconnecting the DSU disables Automatic Emergency Braking (AEB).</i></b> <br />
<sup>1</sup>Experimental openpilot longitudinal control is available behind a toggle; the toggle is only available in non-release branches such as `devel` or `master-ci`. <br />
<sup>2</sup>By default, this car will use the stock Adaptive Cruise Control (ACC) for longitudinal control. If the Driver Support Unit (DSU) is disconnected, openpilot ACC will replace stock ACC. <b><i>NOTE: disconnecting the DSU disables Automatic Emergency Braking (AEB).</i></b> <br />
<sup>3</sup>Requires a <a href="https://github.com/commaai/openpilot/wiki/GM#hardware">community built ASCM harness</a>. <b><i>NOTE: disconnecting the ASCM disables Automatic Emergency Braking (AEB).</i></b> <br />
<sup>4</sup>2019 Honda Civic 1.6L Diesel Sedan does not have ALC below 12mph. <br />
<sup>5</sup>openpilot operates above 28mph for Camry 4CYL L, 4CYL LE and 4CYL SE which don't have Full-Speed Range Dynamic Radar Cruise Control. <br />

@ -8,4 +8,4 @@ Additionally, on specific supported cars (see ACC column in [supported cars](CAR
* Stock ACC is replaced by openpilot ACC.
* openpilot FCW operates in addition to stock FCW.
openpilot should preserve all other vehicle's stock features, including, but are not limited to: FCW, Automatic Emergency Braking (AEB), auto high-beam, blind spot warning, and side collision warning.
openpilot should preserve all other vehicle's stock features, including, but not limited to: FCW, Automatic Emergency Braking (AEB), auto high-beam, blind spot warning, and side collision warning.

@ -1 +1 @@
Subproject commit 296f190000a2e71408e207ba21a2257cc853ec15
Subproject commit 94fff4782be263efad10032a612b3c96a120c0b7

@ -1 +1 @@
Subproject commit 3ac7536c94c560756293e299c514c03ea20d83a4
Subproject commit 4edd1a602131ec2f09a604a4bd28e7d00e334458

43
poetry.lock generated

@ -2439,6 +2439,20 @@ typing-extensions = ">=3.6.2.1"
[package.extras]
lint = ["clang-format (==13.0.0)", "flake8", "mypy (==0.782)", "types-protobuf (==3.18.4)"]
[[package]]
name = "onnx2torch"
version = "1.5.4"
description = "Nice Onnx to Pytorch converter"
category = "dev"
optional = false
python-versions = "*"
[package.dependencies]
numpy = ">=1.16.4"
onnx = ">=1.9.0"
torch = ">=1.8.0"
torchvision = ">=0.9.0"
[[package]]
name = "onnxoptimizer"
version = "0.3.1"
@ -3696,6 +3710,20 @@ category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "sounddevice"
version = "0.4.5"
description = "Play and Record Sound with Python"
category = "main"
optional = false
python-versions = ">=3.7"
[package.dependencies]
CFFI = ">=1.0"
[package.extras]
numpy = ["NumPy"]
[[package]]
name = "soupsieve"
version = "2.3.2.post1"
@ -4386,7 +4414,7 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[metadata]
lock-version = "1.1"
python-versions = "~3.8"
content-hash = "d2854112975a9d83a9540175b2d430487e40e0292d48a1ba6c591db60a08c136"
content-hash = "331a7b700c17c618a4f0fa7d0ec3e5b585c1dc467f6f03261c3778f729058f55"
[metadata.files]
adal = [
@ -6388,6 +6416,9 @@ onnx = [
{file = "onnx-1.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:af90427ca04c6b7b8107c2021e1273227a3ef1a7a01f3073039cae7855a59833"},
{file = "onnx-1.12.0.tar.gz", hash = "sha256:13b3e77d27523b9dbf4f30dfc9c959455859d5e34e921c44f712d69b8369eff9"},
]
onnx2torch = [
{file = "onnx2torch-1.5.4-py3-none-any.whl", hash = "sha256:fd1a0fe05072bfb9f3d86d9330299b130b41f11bd4ae634db17078974e711725"},
]
onnxoptimizer = [
{file = "onnxoptimizer-0.3.1-cp37-cp37m-macosx_10_15_x86_64.whl", hash = "sha256:e73a5e2e3ca4db9bff54f7131768749c861677b97ee811a136fcf1a52783cf6e"},
{file = "onnxoptimizer-0.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8bf2bfe0dc43f0776867688e1759122dec049ff4f45f7221931b687fe7e139e"},
@ -6764,6 +6795,7 @@ pycryptodome = [
{file = "pycryptodome-3.15.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:7c9ed8aa31c146bef65d89a1b655f5f4eab5e1120f55fc297713c89c9e56ff0b"},
{file = "pycryptodome-3.15.0-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:5099c9ca345b2f252f0c28e96904643153bae9258647585e5e6f649bb7a1844a"},
{file = "pycryptodome-3.15.0-cp27-cp27m-manylinux2014_aarch64.whl", hash = "sha256:2ec709b0a58b539a4f9d33fb8508264c3678d7edb33a68b8906ba914f71e8c13"},
{file = "pycryptodome-3.15.0-cp27-cp27m-musllinux_1_1_aarch64.whl", hash = "sha256:2ae53125de5b0d2c95194d957db9bb2681da8c24d0fb0fe3b056de2bcaf5d837"},
{file = "pycryptodome-3.15.0-cp27-cp27m-win32.whl", hash = "sha256:fd2184aae6ee2a944aaa49113e6f5787cdc5e4db1eb8edb1aea914bd75f33a0c"},
{file = "pycryptodome-3.15.0-cp27-cp27m-win_amd64.whl", hash = "sha256:7e3a8f6ee405b3bd1c4da371b93c31f7027944b2bcce0697022801db93120d83"},
{file = "pycryptodome-3.15.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:b9c5b1a1977491533dfd31e01550ee36ae0249d78aae7f632590db833a5012b8"},
@ -6771,12 +6803,14 @@ pycryptodome = [
{file = "pycryptodome-3.15.0-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:2aa55aae81f935a08d5a3c2042eb81741a43e044bd8a81ea7239448ad751f763"},
{file = "pycryptodome-3.15.0-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:c3640deff4197fa064295aaac10ab49a0d55ef3d6a54ae1499c40d646655c89f"},
{file = "pycryptodome-3.15.0-cp27-cp27mu-manylinux2014_aarch64.whl", hash = "sha256:045d75527241d17e6ef13636d845a12e54660aa82e823b3b3341bcf5af03fa79"},
{file = "pycryptodome-3.15.0-cp27-cp27mu-musllinux_1_1_aarch64.whl", hash = "sha256:eb6fce570869e70cc8ebe68eaa1c26bed56d40ad0f93431ee61d400525433c54"},
{file = "pycryptodome-3.15.0-cp35-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9ee40e2168f1348ae476676a2e938ca80a2f57b14a249d8fe0d3cdf803e5a676"},
{file = "pycryptodome-3.15.0-cp35-abi3-manylinux1_i686.whl", hash = "sha256:4c3ccad74eeb7b001f3538643c4225eac398c77d617ebb3e57571a897943c667"},
{file = "pycryptodome-3.15.0-cp35-abi3-manylinux1_x86_64.whl", hash = "sha256:1b22bcd9ec55e9c74927f6b1f69843cb256fb5a465088ce62837f793d9ffea88"},
{file = "pycryptodome-3.15.0-cp35-abi3-manylinux2010_i686.whl", hash = "sha256:57f565acd2f0cf6fb3e1ba553d0cb1f33405ec1f9c5ded9b9a0a5320f2c0bd3d"},
{file = "pycryptodome-3.15.0-cp35-abi3-manylinux2010_x86_64.whl", hash = "sha256:4b52cb18b0ad46087caeb37a15e08040f3b4c2d444d58371b6f5d786d95534c2"},
{file = "pycryptodome-3.15.0-cp35-abi3-manylinux2014_aarch64.whl", hash = "sha256:092a26e78b73f2530b8bd6b3898e7453ab2f36e42fd85097d705d6aba2ec3e5e"},
{file = "pycryptodome-3.15.0-cp35-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:50ca7e587b8e541eb6c192acf92449d95377d1f88908c0a32ac5ac2703ebe28b"},
{file = "pycryptodome-3.15.0-cp35-abi3-win32.whl", hash = "sha256:e244ab85c422260de91cda6379e8e986405b4f13dc97d2876497178707f87fc1"},
{file = "pycryptodome-3.15.0-cp35-abi3-win_amd64.whl", hash = "sha256:c77126899c4b9c9827ddf50565e93955cb3996813c18900c16b2ea0474e130e9"},
{file = "pycryptodome-3.15.0-pp27-pypy_73-macosx_10_9_x86_64.whl", hash = "sha256:9eaadc058106344a566dc51d3d3a758ab07f8edde013712bc8d22032a86b264f"},
@ -7515,6 +7549,13 @@ sortedcontainers = [
{file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
{file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
]
sounddevice = [
{file = "sounddevice-0.4.5-py3-none-any.whl", hash = "sha256:5cea4afd9412e731f50ae09a54d68b10628a604cfd56b42a976c54d424c6c39d"},
{file = "sounddevice-0.4.5-py3-none-macosx_10_6_x86_64.macosx_10_6_universal2.whl", hash = "sha256:0875173595a8bd5a66b5a03a3d958e7b89c3b956b8befbe4491a24a3ce7784c0"},
{file = "sounddevice-0.4.5-py3-none-win32.whl", hash = "sha256:442adf53850916374a58f902200aaf9412227378181264e60c966da64be47d41"},
{file = "sounddevice-0.4.5-py3-none-win_amd64.whl", hash = "sha256:d3216c5d3d678c3301058e9aac7000879e255140c524c9ef98730091b67ea676"},
{file = "sounddevice-0.4.5.tar.gz", hash = "sha256:2fe0d41299e4f3037dad2acede4eff0666b34a1fa3da5335e47120373964bef5"},
]
soupsieve = [
{file = "soupsieve-2.3.2.post1-py3-none-any.whl", hash = "sha256:3b2503d3c7084a42b1ebd08116e5f81aadfaea95863628c80a3b774a11b7c759"},
{file = "soupsieve-2.3.2.post1.tar.gz", hash = "sha256:fc53893b3da2c33de295667a0e19f078c14bf86544af307354de5fcf12a3f30d"},

@ -49,6 +49,7 @@ sentry-sdk = "^1.6.0"
setproctitle = "^1.2.3"
six = "^1.16.0"
smbus2 = "^0.4.2"
sounddevice = "^0.4.5"
sympy = "^1.10.1"
timezonefinder = "^6.0.1"
tqdm = "^4.64.0"
@ -146,6 +147,7 @@ mpld3 = "^0.5.8"
msgpack-python = "^0.5.6"
networkx = "~2.3"
nvidia-ml-py3 = "^7.352.0"
onnx2torch = "^1.5.4"
onnxoptimizer = "^0.3.1"
opencv-python-headless = { url = "https://github.com/commaai/opencv-python-builder/releases/download/4.5.5.64%2Bcu113/opencv_python_headless-4.5.5.64-cp38-cp38-manylinux_2_31_x86_64.whl" }
osmium = "^3.3.0"

@ -71,6 +71,7 @@ selfdrive/rtshield.py
selfdrive/statsd.py
system/logmessaged.py
system/micd.py
system/swaglog.py
system/version.py
@ -95,6 +96,7 @@ selfdrive/boardd/panda_comms.h
selfdrive/boardd/panda_comms.cc
selfdrive/boardd/set_time.py
selfdrive/boardd/pandad.py
selfdrive/boardd/tests/test_boardd_loopback.py
selfdrive/car/__init__.py
selfdrive/car/docs_definitions.py
@ -215,6 +217,7 @@ system/hardware/tici/amplifier.py
system/hardware/tici/updater
system/hardware/tici/iwlist.py
system/hardware/pc/__init__.py
system/hardware/pc/hardware.h
system/hardware/pc/hardware.py
selfdrive/locationd/__init__.py
@ -347,20 +350,28 @@ selfdrive/manager/test/test_manager.py
selfdrive/modeld/__init__.py
selfdrive/modeld/SConscript
selfdrive/modeld/modeld.cc
selfdrive/modeld/navmodeld.cc
selfdrive/modeld/dmonitoringmodeld.cc
selfdrive/modeld/constants.py
selfdrive/modeld/modeld
selfdrive/modeld/navmodeld
selfdrive/modeld/dmonitoringmodeld
selfdrive/modeld/models/commonmodel.cc
selfdrive/modeld/models/commonmodel.h
selfdrive/modeld/models/driving.cc
selfdrive/modeld/models/driving.h
selfdrive/modeld/models/supercombo.onnx
selfdrive/modeld/models/dmonitoring.cc
selfdrive/modeld/models/dmonitoring.h
selfdrive/modeld/models/supercombo.onnx
selfdrive/modeld/models/dmonitoring_model_q.dlc
selfdrive/modeld/models/nav.cc
selfdrive/modeld/models/nav.h
selfdrive/modeld/models/navmodel_q.dlc
selfdrive/modeld/transforms/loadyuv.cc
selfdrive/modeld/transforms/loadyuv.h
selfdrive/modeld/transforms/loadyuv.cl
@ -483,6 +494,7 @@ cereal/visionipc/*.pxd
panda/.gitignore
panda/__init__.py
panda/SConscript
panda/board/**
panda/certs/**
panda/crypto/**

@ -0,0 +1,4 @@
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@ -528,9 +528,6 @@ void peripheral_control_thread(Panda *panda, bool no_fan_control) {
cnt++;
sm.update(1000); // TODO: what happens if EINTR is sent while in sm.update?
// Other pandas don't have fan/IR to control
if (panda->hw_type != cereal::PandaState::PandaType::UNO && panda->hw_type != cereal::PandaState::PandaType::DOS) continue;
if (sm.updated("deviceState") && !no_fan_control) {
// Fan speed
uint16_t fan_speed = sm["deviceState"].getDeviceState().getFanSpeedPercentDesired();

@ -6,7 +6,6 @@
#include <stdexcept>
#include "cereal/messaging/messaging.h"
#include "panda/board/dlc_to_len.h"
#include "common/swaglog.h"
#include "common/util.h"
@ -24,7 +23,8 @@ Panda::Panda(std::string serial, uint32_t bus_offset) : bus_offset(bus_offset) {
(hw_type != cereal::PandaState::PandaType::GREY_PANDA));
has_rtc = (hw_type == cereal::PandaState::PandaType::UNO) ||
(hw_type == cereal::PandaState::PandaType::DOS);
(hw_type == cereal::PandaState::PandaType::DOS) ||
(hw_type == cereal::PandaState::PandaType::TRES);
return;
}
@ -169,22 +169,15 @@ static uint8_t len_to_dlc(uint8_t len) {
}
}
static void write_packet(uint8_t *dest, int *write_pos, const uint8_t *src, size_t size) {
for (int i = 0, &pos = *write_pos; i < size; ++i, ++pos) {
// Insert counter every 64 bytes (first byte of 64 bytes USB packet)
if (pos % USBPACKET_MAX_SIZE == 0) {
dest[pos] = pos / USBPACKET_MAX_SIZE;
pos++;
}
dest[pos] = src[i];
}
}
void Panda::pack_can_buffer(const capnp::List<cereal::CanData>::Reader &can_data_list,
std::function<void(uint8_t *, size_t)> write_func) {
int32_t pos = 0;
uint8_t send_buf[2 * USB_TX_SOFT_LIMIT];
uint32_t magic = CAN_TRANSACTION_MAGIC;
memcpy(&send_buf[0], &magic, sizeof(uint32_t));
pos += sizeof(uint32_t);
for (auto cmsg : can_data_list) {
// check if the message is intended for this panda
uint8_t bus = cmsg.getSrc();
@ -202,16 +195,19 @@ void Panda::pack_can_buffer(const capnp::List<cereal::CanData>::Reader &can_data
header.data_len_code = data_len_code;
header.bus = bus - bus_offset;
write_packet(send_buf, &pos, (uint8_t *)&header, sizeof(can_header));
write_packet(send_buf, &pos, (uint8_t *)can_data.begin(), can_data.size());
memcpy(&send_buf[pos], (uint8_t *)&header, sizeof(can_header));
pos += sizeof(can_header);
memcpy(&send_buf[pos], (uint8_t *)can_data.begin(), can_data.size());
pos += can_data.size();
if (pos >= USB_TX_SOFT_LIMIT) {
write_func(send_buf, pos);
pos = 0;
pos = sizeof(uint32_t);
}
}
// send remaining packets
if (pos > 0) write_func(send_buf, pos);
if (pos > sizeof(uint32_t)) write_func(send_buf, pos);
}
void Panda::can_send(capnp::List<cereal::CanData>::Reader can_data_list) {
@ -234,33 +230,38 @@ bool Panda::can_receive(std::vector<can_frame>& out_vec) {
}
bool Panda::unpack_can_buffer(uint8_t *data, int size, std::vector<can_frame> &out_vec) {
recv_buf.clear();
for (int i = 0; i < size; i += USBPACKET_MAX_SIZE) {
if (data[i] != i / USBPACKET_MAX_SIZE) {
LOGE("CAN: MALFORMED USB RECV PACKET");
handle->comms_healthy = false;
return false;
}
int chunk_len = std::min(USBPACKET_MAX_SIZE, (size - i));
recv_buf.insert(recv_buf.end(), &data[i + 1], &data[i + chunk_len]);
if (size < sizeof(uint32_t)) {
return true;
}
uint32_t magic;
memcpy(&magic, &data[0], sizeof(uint32_t));
if (magic != CAN_TRANSACTION_MAGIC) {
LOGE("CAN recv: buffer didn't start with magic");
handle->comms_healthy = false;
return false;
}
int pos = 0;
while (pos < recv_buf.size()) {
int pos = sizeof(uint32_t);
while (pos < size) {
can_header header;
memcpy(&header, &recv_buf[pos], CANPACKET_HEAD_SIZE);
memcpy(&header, &data[pos], sizeof(can_header));
can_frame &canData = out_vec.emplace_back();
canData.busTime = 0;
canData.address = header.addr;
canData.src = header.bus + bus_offset;
if (header.rejected) { canData.src += CANPACKET_REJECTED; }
if (header.returned) { canData.src += CANPACKET_RETURNED; }
if (header.rejected) {
canData.src += CAN_REJECTED_BUS_OFFSET;
}
if (header.returned) {
canData.src += CAN_RETURNED_BUS_OFFSET;
}
const uint8_t data_len = dlc_to_len[header.data_len_code];
canData.dat.assign((char *)&recv_buf[pos + CANPACKET_HEAD_SIZE], data_len);
canData.dat.assign((char *)&data[pos + sizeof(can_header)], data_len);
pos += CANPACKET_HEAD_SIZE + data_len;
pos += sizeof(can_header) + data_len;
}
return true;
}

@ -11,20 +11,16 @@
#include "cereal/gen/cpp/car.capnp.h"
#include "cereal/gen/cpp/log.capnp.h"
#include "panda/board/health.h"
#include "panda/board/can_definitions.h"
#include "selfdrive/boardd/panda_comms.h"
#define PANDA_CAN_CNT 3
#define PANDA_BUS_CNT 4
#define USB_TX_SOFT_LIMIT (0x100U)
#define USBPACKET_MAX_SIZE (0x40)
#define RECV_SIZE (0x4000U)
#define CANPACKET_HEAD_SIZE 5U
#define CANPACKET_MAX_SIZE 72U
#define CANPACKET_REJECTED (0xC0U)
#define CANPACKET_RETURNED (0x80U)
#define CAN_REJECTED_BUS_OFFSET 0xC0U
#define CAN_RETURNED_BUS_OFFSET 0x80U
struct __attribute__((packed)) can_header {
uint8_t reserved : 1;
@ -47,7 +43,6 @@ struct can_frame {
class Panda {
private:
std::unique_ptr<PandaCommsHandle> handle;
std::vector<uint8_t> recv_buf;
public:
Panda(std::string serial="", uint32_t bus_offset=0);

@ -13,8 +13,6 @@
#define TIMEOUT 0
#define SPI_BUF_SIZE 1024
const bool PANDA_NO_RETRY = getenv("PANDA_NO_RETRY");
// comms base class
class PandaCommsHandle {
@ -52,7 +50,6 @@ public:
private:
libusb_context *ctx = NULL;
libusb_device_handle *dev_handle = NULL;
std::vector<uint8_t> recv_buf;
void handle_usb_issue(int err, const char func[]);
};

@ -6,6 +6,7 @@
#include <cstring>
#include "common/util.h"
#include "common/timing.h"
#include "common/swaglog.h"
#include "panda/board/comms_definitions.h"
#include "selfdrive/boardd/panda_comms.h"
@ -24,6 +25,9 @@ struct __attribute__((packed)) spi_header {
uint16_t max_rx_len;
};
const int SPI_MAX_RETRIES = 5;
const int SPI_ACK_TIMEOUT = 50; // milliseconds
PandaSpiHandle::PandaSpiHandle(std::string serial) : PandaCommsHandle(serial) {
LOGD("opening SPI panda: %s", serial.c_str());
@ -109,7 +113,7 @@ int PandaSpiHandle::bulk_read(unsigned char endpoint, unsigned char* data, int l
int PandaSpiHandle::bulk_transfer(uint8_t endpoint, uint8_t *tx_data, uint16_t tx_len, uint8_t *rx_data, uint16_t rx_len) {
std::lock_guard lk(hw_lock);
const int xfer_size = 0x40;
const int xfer_size = 0x40 * 15;
int ret = 0;
uint16_t length = (tx_data != NULL) ? tx_len : rx_len;
@ -119,7 +123,8 @@ int PandaSpiHandle::bulk_transfer(uint8_t endpoint, uint8_t *tx_data, uint16_t t
int len = std::min(xfer_size, tx_len - (xfer_size * i));
d = spi_transfer_retry(endpoint, tx_data + (xfer_size * i), len, NULL, 0);
} else {
d = spi_transfer_retry(endpoint, NULL, 0, rx_data + (xfer_size * i), xfer_size);
uint16_t to_read = std::min(xfer_size, rx_len - ret);
d = spi_transfer_retry(endpoint, NULL, 0, rx_data + (xfer_size * i), to_read);
}
if (d < 0) {
@ -137,15 +142,11 @@ int PandaSpiHandle::bulk_transfer(uint8_t endpoint, uint8_t *tx_data, uint16_t t
return ret;
}
std::vector<std::string> PandaSpiHandle::list() {
// TODO: list all pandas available over SPI
return {};
}
void add_checksum(uint8_t *data, int data_len) {
data[data_len] = SPI_CHECKSUM_START;
for (int i=0; i < data_len; i++) {
@ -165,17 +166,19 @@ bool check_checksum(uint8_t *data, int data_len) {
int PandaSpiHandle::spi_transfer_retry(uint8_t endpoint, uint8_t *tx_data, uint16_t tx_len, uint8_t *rx_data, uint16_t max_rx_len) {
int ret;
int count = SPI_MAX_RETRIES;
std::lock_guard lk(hw_lock);
do {
// TODO: handle error
ret = spi_transfer(endpoint, tx_data, tx_len, rx_data, max_rx_len);
} while (ret < 0 && connected && !PANDA_NO_RETRY);
count--;
} while (ret < 0 && connected && count > 0);
return ret;
}
int PandaSpiHandle::wait_for_ack(spi_ioc_transfer &transfer, uint8_t ack) {
// TODO: add timeout?
double start_millis = millis_since_boot();
while (true) {
int ret = util::safe_ioctl(spi_fd, SPI_IOC_MESSAGE(1), &transfer);
if (ret < 0) {
@ -189,6 +192,12 @@ int PandaSpiHandle::wait_for_ack(spi_ioc_transfer &transfer, uint8_t ack) {
LOGW("SPI: got NACK");
return -1;
}
// handle timeout
if (millis_since_boot() - start_millis > SPI_ACK_TIMEOUT) {
LOGE("SPI: timed out waiting for ACK");
return -1;
}
}
return 0;

@ -6,8 +6,6 @@
#include "cereal/messaging/messaging.h"
#include "selfdrive/boardd/panda.h"
const unsigned char dlc_to_len[] = {0U, 1U, 2U, 3U, 4U, 5U, 6U, 7U, 8U, 12U, 16U, 20U, 24U, 32U, 48U, 64U};
int random_int(int min, int max) {
std::random_device dev;
std::mt19937 rng(dev());
@ -50,7 +48,7 @@ PandaTest::PandaTest(uint32_t bus_offset_, int can_list_size, cereal::PandaState
can.setAddress(i);
can.setSrc(random_int(0, 3) + bus_offset);
can.setDat(kj::ArrayPtr((uint8_t *)dat.data(), dat.size()));
total_pakets_size += CANPACKET_HEAD_SIZE + dat.size();
total_pakets_size += sizeof(can_header) + dat.size();
}
can_data_list = can_list.asReader();
@ -60,14 +58,11 @@ PandaTest::PandaTest(uint32_t bus_offset_, int can_list_size, cereal::PandaState
void PandaTest::test_can_send() {
std::vector<uint8_t> unpacked_data;
this->pack_can_buffer(can_data_list, [&](uint8_t *chunk, size_t size) {
int size_left = size;
for (int i = 0, counter = 0; i < size; i += USBPACKET_MAX_SIZE, counter++) {
REQUIRE(chunk[i] == counter);
const int len = std::min(USBPACKET_MAX_SIZE, size_left);
unpacked_data.insert(unpacked_data.end(), &chunk[i + 1], &chunk[i + len]);
size_left -= len;
}
uint32_t magic;
memcpy(&magic, &chunk[0], sizeof(uint32_t));
REQUIRE(magic == CAN_TRANSACTION_MAGIC);
unpacked_data.insert(unpacked_data.end(), &chunk[sizeof(uint32_t)], &chunk[size]);
});
REQUIRE(unpacked_data.size() == total_pakets_size);
@ -75,9 +70,9 @@ void PandaTest::test_can_send() {
INFO("test can message integrity");
for (int pos = 0, pckt_len = 0; pos < unpacked_data.size(); pos += pckt_len) {
can_header header;
memcpy(&header, &unpacked_data[pos], CANPACKET_HEAD_SIZE);
memcpy(&header, &unpacked_data[pos], sizeof(can_header));
const uint8_t data_len = dlc_to_len[header.data_len_code];
pckt_len = CANPACKET_HEAD_SIZE + data_len;
pckt_len = sizeof(can_header) + data_len;
REQUIRE(header.addr == cnt);
REQUIRE(test_data.find(data_len) != test_data.end());

@ -2,16 +2,13 @@
import math
from cereal import car
from common.realtime import DT_CTRL
from selfdrive.car import scale_rot_inertia, scale_tire_stiffness, get_safety_config
from selfdrive.car import get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.body.values import SPEED_FROM_RPM
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=None, car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.notCar = True
ret.carName = "body"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.body)]
@ -31,10 +28,6 @@ class CarInterface(CarInterfaceBase):
ret.openpilotLongitudinalControl = True
ret.steerControlType = car.CarParams.SteerControlType.angle
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
return ret
def _update(self, c):

@ -26,6 +26,12 @@ CAR_INFO: Dict[str, CarInfo] = {
CAR.BODY: CarInfo("comma body", package="All"),
}
FINGERPRINTS = {
CAR.BODY: [{
513: 8, 516: 8, 514: 3, 515: 4,
}],
}
FW_QUERY_CONFIG = FwQueryConfig(
requests=[
Request(
@ -40,10 +46,13 @@ FW_VERSIONS = {
CAR.BODY: {
(Ecu.engine, 0x720, None): [
b'0.0.01',
b'02/27/2022'
b'02/27/2022',
b'0.3.00a',
],
# git hash of the firmware used
(Ecu.debug, 0x721, None): [
b'166bd860' # git hash of the firmware used
b'166bd860',
b'dc780f85',
],
},
}

@ -1,21 +1,18 @@
#!/usr/bin/env python3
from cereal import car
from panda import Panda
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.chrysler.values import CAR, DBC, RAM_HD, RAM_DT
from selfdrive.car.interfaces import CarInterfaceBase
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "chrysler"
ret.dashcamOnly = candidate in RAM_HD
ret.radarOffCan = DBC[candidate]['radar'] is None
ret.steerActuatorDelay = 0.1
ret.steerLimitTimer = 0.4
@ -75,14 +72,6 @@ class CarInterface(CarInterfaceBase):
raise ValueError(f"Unsupported car: {candidate}")
ret.centerToFront = ret.wheelbase * 0.44
# starting with reasonable value for civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
ret.enableBsm = 720 in fingerprint[0]
return ret

@ -40,6 +40,7 @@ def get_all_car_info() -> List[CarInfo]:
for _car_info in car_info:
if not hasattr(_car_info, "row"):
_car_info.init_make(CP)
_car_info.init(CP, footnotes)
all_car_info.append(_car_info)

@ -73,12 +73,11 @@ CarFootnote = namedtuple("CarFootnote", ["text", "column", "docs_only"], default
class CommonFootnote(Enum):
EXP_LONG_AVAIL = CarFootnote(
"Experimental openpilot longitudinal control is available behind a toggle; the toggle is only available in non-release branches such as `master-ci`. " +
"Using openpilot longitudinal may disable Automatic Emergency Braking (AEB).",
"Experimental openpilot longitudinal control is available behind a toggle; the toggle is only available in non-release branches such as `devel` or `master-ci`. ",
Column.LONGITUDINAL, docs_only=True)
EXP_LONG_DSU = CarFootnote(
"When the Driver Support Unit (DSU) is disconnected, openpilot Adaptive Cruise Control (ACC) will replace " +
"stock Adaptive Cruise Control (ACC). <b><i>NOTE: disconnecting the DSU disables Automatic Emergency Braking (AEB).</i></b>",
"By default, this car will use the stock Adaptive Cruise Control (ACC) for longitudinal control. If the Driver Support Unit (DSU) is disconnected, openpilot ACC will replace " +
"stock ACC. <b><i>NOTE: disconnecting the DSU disables Automatic Emergency Braking (AEB).</i></b>",
Column.LONGITUDINAL)
@ -173,6 +172,9 @@ class CarInfo:
return self
def init_make(self, CP: car.CarParams):
"""CarInfo subclasses can add make-specific logic for harness selection, footnotes, etc."""
def get_detail_sentence(self, CP):
if not CP.notCar:
sentence_builder = "openpilot upgrades your <strong>{car_model}</strong> with automated lane centering{alc} and adaptive cruise control{acc}."

@ -1,7 +1,7 @@
#!/usr/bin/env python3
from cereal import car
from common.conversions import Conversions as CV
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.ford.values import CAR, Ecu, TransmissionType, GearShifter
from selfdrive.car.interfaces import CarInterfaceBase
@ -10,12 +10,7 @@ CarParams = car.CarParams
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
if car_fw is None:
car_fw = []
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "ford"
ret.dashcamOnly = True
ret.safetyConfigs = [get_safety_config(CarParams.SafetyModel.ford)]
@ -24,7 +19,6 @@ class CarInterface(CarInterfaceBase):
ret.steerControlType = CarParams.SteerControlType.angle
ret.steerActuatorDelay = 0.4
ret.steerLimitTimer = 1.0
tire_stiffness_factor = 1.0
if candidate == CAR.ESCAPE_MK4:
ret.wheelbase = 2.71
@ -60,10 +54,7 @@ class CarInterface(CarInterfaceBase):
ret.minSteerSpeed = 0.
ret.autoResumeSng = ret.minEnableSpeed == -1.
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.centerToFront = ret.wheelbase * 0.44
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
def _update(self, c):

@ -100,6 +100,9 @@ class CarState(CarStateBase):
if self.CP.networkLocation == NetworkLocation.fwdCamera:
ret.cruiseState.speed = cam_cp.vl["ASCMActiveCruiseControlStatus"]["ACCSpeedSetpoint"] * CV.KPH_TO_MS
ret.stockAeb = cam_cp.vl["AEBCmd"]["AEBCmdActive"] != 0
# openpilot controls nonAdaptive when not pcmCruise
if self.CP.pcmCruise:
ret.cruiseState.nonAdaptive = cam_cp.vl["ASCMActiveCruiseControlStatus"]["ACCCruiseState"] not in (2, 3)
return ret
@ -112,6 +115,7 @@ class CarState(CarStateBase):
("AEBCmdActive", "AEBCmd"),
("RollingCounter", "ASCMLKASteeringCmd"),
("ACCSpeedSetpoint", "ASCMActiveCruiseControlStatus"),
("ACCCruiseState", "ASCMActiveCruiseControlStatus"),
]
checks += [
("AEBCmd", 10),

@ -4,7 +4,7 @@ from math import fabs
from panda import Panda
from common.conversions import Conversions as CV
from selfdrive.car import STD_CARGO_KG, create_button_events, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, create_button_events, scale_tire_stiffness, get_safety_config
from selfdrive.car.gm.values import CAR, CruiseButtons, CarControllerParams, EV_CAR, CAMERA_ACC_CAR
from selfdrive.car.interfaces import CarInterfaceBase
@ -44,8 +44,7 @@ class CarInterface(CarInterfaceBase):
return CarInterfaceBase.get_steer_feedforward_default
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "gm"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.gm)]
ret.autoResumeSng = False
@ -98,7 +97,7 @@ class CarInterface(CarInterfaceBase):
# These cars have been put into dashcam only due to both a lack of users and test coverage.
# These cars likely still work fine. Once a user confirms each car works and a test route is
# added to selfdrive/car/tests/routes.py, we can remove it from this list.
ret.dashcamOnly = candidate in {CAR.CADILLAC_ATS, CAR.HOLDEN_ASTRA, CAR.MALIBU, CAR.BUICK_REGAL, CAR.EQUINOX, CAR.BOLT_EV}
ret.dashcamOnly = candidate in {CAR.CADILLAC_ATS, CAR.HOLDEN_ASTRA, CAR.MALIBU, CAR.BUICK_REGAL, CAR.EQUINOX}
# Start with a baseline tuning for all GM vehicles. Override tuning as needed in each model section below.
# Some GMs need some tolerance above 10 kph to avoid a fault
@ -171,7 +170,7 @@ class CarInterface(CarInterfaceBase):
ret.lateralTuning.pid.kf = 0.000045
tire_stiffness_factor = 1.0
elif candidate in (CAR.BOLT_EV, CAR.BOLT_EUV):
elif candidate == CAR.BOLT_EUV:
ret.mass = 1669. + STD_CARGO_KG
ret.wheelbase = 2.63779
ret.steerRatio = 16.8
@ -195,10 +194,6 @@ class CarInterface(CarInterfaceBase):
ret.centerToFront = ret.wheelbase * 0.4
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
@ -210,18 +205,16 @@ class CarInterface(CarInterfaceBase):
def _update(self, c):
ret = self.CS.update(self.cp, self.cp_cam, self.cp_loopback)
button_events = []
for be in create_button_events(self.CS.cruise_buttons, self.CS.prev_cruise_buttons, BUTTONS_DICT,
unpressed_btn=CruiseButtons.UNPRESS, init_btn=CruiseButtons.INIT):
# Suppress resume button if we're resuming from stop so we don't adjust speed.
if be.type == ButtonType.accelCruise and (ret.cruiseState.enabled and ret.standstill):
be.type = ButtonType.unknown
button_events.append(be)
ret.buttonEvents = button_events
ret.buttonEvents = create_button_events(self.CS.cruise_buttons, self.CS.prev_cruise_buttons, BUTTONS_DICT,
unpressed_btn=CruiseButtons.UNPRESS, init_btn=CruiseButtons.INIT)
# The ECM allows enabling on falling edge of set, but only rising edge of resume
events = self.create_common_events(ret, extra_gears=[GearShifter.sport, GearShifter.low,
GearShifter.eco, GearShifter.manumatic],
pcm_enable=self.CP.pcmCruise)
pcm_enable=self.CP.pcmCruise, enable_buttons=(ButtonType.decelCruise,))
if not self.CP.pcmCruise:
if any(b.type == ButtonType.accelCruise and b.pressed for b in ret.buttonEvents):
events.add(EventName.buttonEnable)
# Enabling at a standstill with brake is allowed
# TODO: verify 17 Volt can enable for the first time at a stop and allow for all GMs

@ -1,5 +1,5 @@
from collections import defaultdict
from dataclasses import dataclass, field
from dataclasses import dataclass
from enum import Enum
from typing import Dict, List, Union
@ -68,7 +68,6 @@ class CAR:
ACADIA = "GMC ACADIA DENALI 2018"
BUICK_REGAL = "BUICK REGAL ESSENCE 2018"
ESCALADE_ESV = "CADILLAC ESCALADE ESV 2016"
BOLT_EV = "CHEVROLET BOLT EV 2022"
BOLT_EUV = "CHEVROLET BOLT EUV 2022"
SILVERADO = "CHEVROLET SILVERADO 1500 2020"
EQUINOX = "CHEVROLET EQUINOX 2019"
@ -84,25 +83,32 @@ class Footnote(Enum):
@dataclass
class GMCarInfo(CarInfo):
package: str = "Adaptive Cruise Control (ACC)"
harness: Enum = Harness.obd_ii
footnotes: List[Enum] = field(default_factory=lambda: [Footnote.OBD_II])
def init_make(self, CP: car.CarParams):
if CP.networkLocation == car.CarParams.NetworkLocation.fwdCamera:
self.harness = Harness.gm
else:
self.harness = Harness.obd_ii
self.footnotes.append(Footnote.OBD_II)
CAR_INFO: Dict[str, Union[GMCarInfo, List[GMCarInfo]]] = {
CAR.HOLDEN_ASTRA: GMCarInfo("Holden Astra 2017"),
CAR.VOLT: GMCarInfo("Chevrolet Volt 2017-18", min_enable_speed=0),
CAR.VOLT: GMCarInfo("Chevrolet Volt 2017-18", min_enable_speed=0, video_link="https://youtu.be/QeMCN_4TFfQ"),
CAR.CADILLAC_ATS: GMCarInfo("Cadillac ATS Premium Performance 2018"),
CAR.MALIBU: GMCarInfo("Chevrolet Malibu Premier 2017"),
CAR.ACADIA: GMCarInfo("GMC Acadia 2018", video_link="https://www.youtube.com/watch?v=0ZN6DdsBUZo"),
CAR.BUICK_REGAL: GMCarInfo("Buick Regal Essence 2018"),
CAR.ESCALADE_ESV: GMCarInfo("Cadillac Escalade ESV 2016", "Adaptive Cruise Control (ACC) & LKAS"),
CAR.BOLT_EV: GMCarInfo("Chevrolet Bolt EV 2022-23", footnotes=[], harness=Harness.gm),
CAR.BOLT_EUV: GMCarInfo("Chevrolet Bolt EUV 2022-23", "Premier or Premier Redline Trim without Super Cruise Package", "https://youtu.be/xvwzGMUA210", footnotes=[], harness=Harness.gm),
CAR.BOLT_EUV: [
GMCarInfo("Chevrolet Bolt EUV 2022-23", "Premier or Premier Redline Trim without Super Cruise Package", "https://youtu.be/xvwzGMUA210"),
GMCarInfo("Chevrolet Bolt EV 2022-23", "2LT Trim with Adaptive Cruise Control Package"),
],
CAR.SILVERADO: [
GMCarInfo("Chevrolet Silverado 1500 2020-21", "Safety Package II", footnotes=[], harness=Harness.gm),
GMCarInfo("GMC Sierra 1500 2020-21", "Driver Alert Package II", footnotes=[], harness=Harness.gm),
GMCarInfo("Chevrolet Silverado 1500 2020-21", "Safety Package II"),
GMCarInfo("GMC Sierra 1500 2020-21", "Driver Alert Package II", "https://youtu.be/5HbNoBLzRwE"),
],
CAR.EQUINOX: GMCarInfo("Chevrolet Equinox 2019-22", footnotes=[], harness=Harness.gm),
CAR.EQUINOX: GMCarInfo("Chevrolet Equinox 2019-22"),
}
@ -188,9 +194,9 @@ FINGERPRINTS = {
DBC: Dict[str, Dict[str, str]] = defaultdict(lambda: dbc_dict('gm_global_a_powertrain_generated', 'gm_global_a_object', chassis_dbc='gm_global_a_chassis'))
EV_CAR = {CAR.VOLT, CAR.BOLT_EV, CAR.BOLT_EUV}
EV_CAR = {CAR.VOLT, CAR.BOLT_EUV}
# We're integrated at the camera with VOACC on these cars (instead of ASCM w/ OBD-II harness)
CAMERA_ACC_CAR = {CAR.BOLT_EV, CAR.BOLT_EUV, CAR.SILVERADO, CAR.EQUINOX}
CAMERA_ACC_CAR = {CAR.BOLT_EUV, CAR.SILVERADO, CAR.EQUINOX}
STEER_THRESHOLD = 1.0

@ -99,6 +99,12 @@ HUDData = namedtuple("HUDData",
"lanes_visible", "fcw", "acc_alert", "steer_required"])
def rate_limit_steer(new_steer, last_steer):
# TODO just hardcoded ramp to min/max in 0.33s for all Honda
MAX_DELTA = 3 * DT_CTRL
return clip(new_steer, last_steer - MAX_DELTA, last_steer + MAX_DELTA)
class CarController:
def __init__(self, dbc_name, CP, VM):
self.CP = CP
@ -116,6 +122,7 @@ class CarController:
self.speed = 0.0
self.gas = 0.0
self.brake = 0.0
self.last_steer = 0.0
def update(self, CC, CS):
actuators = CC.actuators
@ -130,6 +137,10 @@ class CarController:
accel = 0.0
gas, brake = 0.0, 0.0
# *** rate limit steer ***
limited_steer = rate_limit_steer(actuators.steer, self.last_steer)
self.last_steer = limited_steer
# *** apply brake hysteresis ***
pre_limit_brake, self.braking, self.brake_steady = actuator_hysteresis(brake, self.braking, self.brake_steady,
CS.out.vEgo, self.CP.carFingerprint)
@ -143,7 +154,7 @@ class CarController:
# **** process the car messages ****
# steer torque is converted back to CAN reference (positive when steering right)
apply_steer = int(interp(-actuators.steer * self.params.STEER_MAX,
apply_steer = int(interp(-limited_steer * self.params.STEER_MAX,
self.params.STEER_LOOKUP_BP, self.params.STEER_LOOKUP_V))
# Send CAN commands
@ -178,14 +189,14 @@ class CarController:
clip(CS.out.vEgo + 0.0, 0.0, 100.0),
clip(CS.out.vEgo + 5.0, 0.0, 100.0)]
pcm_speed = interp(gas - brake, pcm_speed_BP, pcm_speed_V)
pcm_accel = int(1.0 * 0xc6)
pcm_accel = int(1.0 * self.params.NIDEC_GAS_MAX)
else:
pcm_speed_V = [0.0,
clip(CS.out.vEgo - 2.0, 0.0, 100.0),
clip(CS.out.vEgo + 2.0, 0.0, 100.0),
clip(CS.out.vEgo + 5.0, 0.0, 100.0)]
pcm_speed = interp(gas - brake, pcm_speed_BP, pcm_speed_V)
pcm_accel = int(clip((accel / 1.44) / max_accel, 0.0, 1.0) * 0xc6)
pcm_accel = int(clip((accel / 1.44) / max_accel, 0.0, 1.0) * self.params.NIDEC_GAS_MAX)
if not self.CP.openpilotLongitudinalControl:
if self.frame % 2 == 0 and self.CP.carFingerprint not in HONDA_BOSCH_RADARLESS: # radarless cars don't have supplemental message
@ -243,13 +254,14 @@ class CarController:
self.speed = pcm_speed
if not self.CP.enableGasInterceptor:
self.gas = pcm_accel / 0xc6
self.gas = pcm_accel / self.params.NIDEC_GAS_MAX
new_actuators = actuators.copy()
new_actuators.speed = self.speed
new_actuators.accel = self.accel
new_actuators.gas = self.gas
new_actuators.brake = self.brake
new_actuators.steer = self.last_steer
self.frame += 1
return new_actuators, can_sends

@ -4,7 +4,7 @@ from panda import Panda
from common.conversions import Conversions as CV
from common.numpy_fast import interp
from selfdrive.car.honda.values import CarControllerParams, CruiseButtons, HondaFlags, CAR, HONDA_BOSCH, HONDA_NIDEC_ALT_SCM_MESSAGES, HONDA_BOSCH_ALT_BRAKE_SIGNAL, HONDA_BOSCH_RADARLESS
from selfdrive.car import STD_CARGO_KG, CivicParams, create_button_events, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, CivicParams, create_button_events, scale_tire_stiffness, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.disable_ecu import disable_ecu
@ -29,8 +29,7 @@ class CarInterface(CarInterfaceBase):
return CarControllerParams.NIDEC_ACCEL_MIN, interp(current_speed, ACCEL_MAX_BP, ACCEL_MAX_VALS)
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[], experimental_long=False): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "honda"
if candidate in HONDA_BOSCH:
@ -291,10 +290,6 @@ class CarInterface(CarInterfaceBase):
stop_and_go = candidate in (HONDA_BOSCH | {CAR.CIVIC}) or ret.enableGasInterceptor
ret.minEnableSpeed = -1. if stop_and_go else 25.5 * CV.MPH_TO_MS
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,

@ -27,6 +27,7 @@ class CarControllerParams:
NIDEC_MAX_ACCEL_V = [0.5, 2.4, 1.4, 0.6]
NIDEC_MAX_ACCEL_BP = [0.0, 4.0, 10., 20.]
NIDEC_GAS_MAX = 198 # 0xc6
NIDEC_BRAKE_MAX = 1024 // 4
BOSCH_ACCEL_MIN = -3.5 # m/s^2
@ -106,40 +107,46 @@ class Footnote(Enum):
class HondaCarInfo(CarInfo):
package: str = "Honda Sensing"
def init_make(self, CP: car.CarParams):
if CP.carFingerprint in HONDA_BOSCH:
self.harness = Harness.bosch_b if CP.carFingerprint in HONDA_BOSCH_RADARLESS else Harness.bosch_a
else:
self.harness = Harness.nidec
CAR_INFO: Dict[str, Optional[Union[HondaCarInfo, List[HondaCarInfo]]]] = {
CAR.ACCORD: [
HondaCarInfo("Honda Accord 2018-22", "All", "https://www.youtube.com/watch?v=mrUwlj3Mi58", min_steer_speed=3. * CV.MPH_TO_MS, harness=Harness.bosch_a),
HondaCarInfo("Honda Inspire 2018", "All", min_steer_speed=3. * CV.MPH_TO_MS, harness=Harness.bosch_a),
HondaCarInfo("Honda Accord 2018-22", "All", "https://www.youtube.com/watch?v=mrUwlj3Mi58", min_steer_speed=3. * CV.MPH_TO_MS),
HondaCarInfo("Honda Inspire 2018", "All", min_steer_speed=3. * CV.MPH_TO_MS),
],
CAR.ACCORDH: HondaCarInfo("Honda Accord Hybrid 2018-22", "All", min_steer_speed=3. * CV.MPH_TO_MS, harness=Harness.bosch_a),
CAR.CIVIC: HondaCarInfo("Honda Civic 2016-18", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec, video_link="https://youtu.be/-IkImTe1NYE"),
CAR.ACCORDH: HondaCarInfo("Honda Accord Hybrid 2018-22", "All", min_steer_speed=3. * CV.MPH_TO_MS),
CAR.CIVIC: HondaCarInfo("Honda Civic 2016-18", min_steer_speed=12. * CV.MPH_TO_MS, video_link="https://youtu.be/-IkImTe1NYE"),
CAR.CIVIC_BOSCH: [
HondaCarInfo("Honda Civic 2019-21", "All", "https://www.youtube.com/watch?v=4Iz1Mz5LGF8", [Footnote.CIVIC_DIESEL], 2. * CV.MPH_TO_MS, harness=Harness.bosch_a),
HondaCarInfo("Honda Civic Hatchback 2017-21", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.bosch_a),
HondaCarInfo("Honda Civic 2019-21", "All", "https://www.youtube.com/watch?v=4Iz1Mz5LGF8", [Footnote.CIVIC_DIESEL], 2. * CV.MPH_TO_MS),
HondaCarInfo("Honda Civic Hatchback 2017-21", min_steer_speed=12. * CV.MPH_TO_MS),
],
CAR.CIVIC_BOSCH_DIESEL: None, # same platform
CAR.CIVIC_2022: [
HondaCarInfo("Honda Civic 2022", "All", harness=Harness.bosch_b),
HondaCarInfo("Honda Civic Hatchback 2022", "All", harness=Harness.bosch_b),
HondaCarInfo("Honda Civic 2022", "All"),
HondaCarInfo("Honda Civic Hatchback 2022", "All"),
],
CAR.ACURA_ILX: HondaCarInfo("Acura ILX 2016-19", "AcuraWatch Plus", min_steer_speed=25. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.CRV: HondaCarInfo("Honda CR-V 2015-16", "Touring Trim", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.CRV_5G: HondaCarInfo("Honda CR-V 2017-22", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.bosch_a),
CAR.ACURA_ILX: HondaCarInfo("Acura ILX 2016-19", "AcuraWatch Plus", min_steer_speed=25. * CV.MPH_TO_MS),
CAR.CRV: HondaCarInfo("Honda CR-V 2015-16", "Touring Trim", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.CRV_5G: HondaCarInfo("Honda CR-V 2017-22", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.CRV_EU: None, # HondaCarInfo("Honda CR-V EU", "Touring"), # Euro version of CRV Touring
CAR.CRV_HYBRID: HondaCarInfo("Honda CR-V Hybrid 2017-19", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.bosch_a),
CAR.FIT: HondaCarInfo("Honda Fit 2018-20", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.FREED: HondaCarInfo("Honda Freed 2020", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.HRV: HondaCarInfo("Honda HR-V 2019-22", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.ODYSSEY: HondaCarInfo("Honda Odyssey 2018-20", harness=Harness.nidec),
CAR.CRV_HYBRID: HondaCarInfo("Honda CR-V Hybrid 2017-19", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.FIT: HondaCarInfo("Honda Fit 2018-20", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.FREED: HondaCarInfo("Honda Freed 2020", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.HRV: HondaCarInfo("Honda HR-V 2019-22", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.ODYSSEY: HondaCarInfo("Honda Odyssey 2018-20"),
CAR.ODYSSEY_CHN: None, # Chinese version of Odyssey
CAR.ACURA_RDX: HondaCarInfo("Acura RDX 2016-18", "AcuraWatch Plus", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.ACURA_RDX_3G: HondaCarInfo("Acura RDX 2019-22", "All", min_steer_speed=3. * CV.MPH_TO_MS, harness=Harness.bosch_a),
CAR.PILOT: HondaCarInfo("Honda Pilot 2016-22", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.PASSPORT: HondaCarInfo("Honda Passport 2019-21", "All", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.RIDGELINE: HondaCarInfo("Honda Ridgeline 2017-22", min_steer_speed=12. * CV.MPH_TO_MS, harness=Harness.nidec),
CAR.INSIGHT: HondaCarInfo("Honda Insight 2019-22", "All", min_steer_speed=3. * CV.MPH_TO_MS, harness=Harness.bosch_a),
CAR.HONDA_E: HondaCarInfo("Honda e 2020", "All", min_steer_speed=3. * CV.MPH_TO_MS, harness=Harness.bosch_a),
CAR.ACURA_RDX: HondaCarInfo("Acura RDX 2016-18", "AcuraWatch Plus", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.ACURA_RDX_3G: HondaCarInfo("Acura RDX 2019-22", "All", min_steer_speed=3. * CV.MPH_TO_MS),
CAR.PILOT: HondaCarInfo("Honda Pilot 2016-22", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.PASSPORT: HondaCarInfo("Honda Passport 2019-21", "All", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.RIDGELINE: HondaCarInfo("Honda Ridgeline 2017-22", min_steer_speed=12. * CV.MPH_TO_MS),
CAR.INSIGHT: HondaCarInfo("Honda Insight 2019-22", "All", min_steer_speed=3. * CV.MPH_TO_MS),
CAR.HONDA_E: HondaCarInfo("Honda e 2020", "All", min_steer_speed=3. * CV.MPH_TO_MS),
}
FW_QUERY_CONFIG = FwQueryConfig(
@ -236,7 +243,7 @@ FW_VERSIONS = {
b'39990-TVA-A340\x00\x00',
b'39990-TVA-X030\x00\x00',
b'39990-TVA-X040\x00\x00',
b'39990-TVA,A150\x00\x00',
b'39990-TVA,A150\x00\x00', # modified firmware
b'39990-TVE-H130\x00\x00',
],
(Ecu.unknown, 0x18da3af1, None): [

@ -60,9 +60,6 @@ class CarController:
# steering torque
steer = actuators.steer
if self.CP.carFingerprint in (CAR.KONA, CAR.KONA_EV, CAR.KONA_HEV, CAR.KONA_EV_2022):
# these cars have significantly more torque than most HKG; limit to 70% of max
steer = clip(steer, -0.7, 0.7)
new_steer = int(round(steer * self.params.STEER_MAX))
apply_steer = apply_std_steer_torque_limits(new_steer, self.apply_steer_last, CS.out.steeringTorque, self.params)
@ -85,7 +82,7 @@ class CarController:
# *** common hyundai stuff ***
# tester present - w/ no response (keeps relevant ECU disabled)
if self.frame % 100 == 0 and self.CP.openpilotLongitudinalControl:
if self.frame % 100 == 0 and not (self.CP.flags & HyundaiFlags.CANFD_CAMERA_SCC.value) and self.CP.openpilotLongitudinalControl:
addr, bus = 0x7d0, 0
if self.CP.flags & HyundaiFlags.CANFD_HDA2.value:
addr, bus = 0x730, 5
@ -122,7 +119,8 @@ class CarController:
can_sends.append(hyundaicanfd.create_lfahda_cluster(self.packer, self.CP, CC.enabled))
if self.CP.openpilotLongitudinalControl:
can_sends.extend(hyundaicanfd.create_adrv_messages(self.packer, self.frame))
if hda2:
can_sends.extend(hyundaicanfd.create_adrv_messages(self.packer, self.frame))
if self.frame % 2 == 0:
can_sends.append(hyundaicanfd.create_acc_control(self.packer, self.CP, CC.enabled, self.accel_last, accel, stopping, CC.cruiseControl.override,
set_speed_in_units))
@ -175,7 +173,7 @@ class CarController:
if self.frame % 5 == 0 and self.car_fingerprint in (CAR.SONATA, CAR.PALISADE, CAR.IONIQ, CAR.KIA_NIRO_EV, CAR.KIA_NIRO_HEV_2021,
CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV, CAR.KIA_CEED, CAR.KIA_SELTOS, CAR.KONA_EV, CAR.KONA_EV_2022,
CAR.ELANTRA_2021, CAR.ELANTRA_HEV_2021, CAR.SONATA_HYBRID, CAR.KONA_HEV, CAR.SANTA_FE_2022,
CAR.KIA_K5_2021, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.GENESIS_G70_2020, CAR.SANTA_FE_PHEV_2022):
CAR.KIA_K5_2021, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.GENESIS_G70_2020, CAR.SANTA_FE_PHEV_2022, CAR.KIA_STINGER_2022):
can_sends.append(hyundaican.create_lfahda_mfc(self.packer, CC.enabled))
# 5 Hz ACC options

@ -6,7 +6,7 @@ from cereal import car
from common.conversions import Conversions as CV
from opendbc.can.parser import CANParser
from opendbc.can.can_define import CANDefine
from selfdrive.car.hyundai.values import HyundaiFlags, DBC, FEATURES, CAMERA_SCC_CAR, CANFD_CAR, EV_CAR, HYBRID_CAR, Buttons, CarControllerParams
from selfdrive.car.hyundai.values import HyundaiFlags, CAR, DBC, FEATURES, CAMERA_SCC_CAR, CANFD_CAR, EV_CAR, HYBRID_CAR, Buttons, CarControllerParams
from selfdrive.car.interfaces import CarStateBase
PREV_BUTTON_SAMPLES = 8
@ -197,7 +197,9 @@ class CarState(CarStateBase):
ret.rightBlindspot = cp.vl["BLINDSPOTS_REAR_CORNERS"]["FR_INDICATOR"] != 0
ret.cruiseState.available = True
self.is_metric = cp.vl["CLUSTER_INFO"]["DISTANCE_UNIT"] != 1
cruise_btn_msg = "CRUISE_BUTTONS_ALT" if self.CP.flags & HyundaiFlags.CANFD_ALT_BUTTONS else "CRUISE_BUTTONS"
distance_unit_msg = cruise_btn_msg if self.CP.carFingerprint == CAR.KIA_SORENTO_PHEV_4TH_GEN else "CLUSTER_INFO"
self.is_metric = cp.vl[distance_unit_msg]["DISTANCE_UNIT"] != 1
if not self.CP.openpilotLongitudinalControl:
speed_factor = CV.KPH_TO_MS if self.is_metric else CV.MPH_TO_MS
cp_cruise_info = cp_cam if self.CP.flags & HyundaiFlags.CANFD_CAMERA_SCC else cp
@ -206,7 +208,6 @@ class CarState(CarStateBase):
ret.cruiseState.enabled = cp_cruise_info.vl["SCC_CONTROL"]["ACCMode"] in (1, 2)
self.cruise_info = copy.copy(cp_cruise_info.vl["SCC_CONTROL"])
cruise_btn_msg = "CRUISE_BUTTONS_ALT" if self.CP.flags & HyundaiFlags.CANFD_ALT_BUTTONS else "CRUISE_BUTTONS"
self.prev_cruise_buttons = self.cruise_buttons[-1]
self.cruise_buttons.extend(cp.vl_all[cruise_btn_msg]["CRUISE_BUTTONS"])
self.main_buttons.extend(cp.vl_all[cruise_btn_msg]["ADAPTIVE_CRUISE_MAIN_BTN"])
@ -446,6 +447,9 @@ class CarState(CarStateBase):
("DRIVER_SEATBELT_LATCHED", "DOORS_SEATBELTS"),
]
if CP.carFingerprint == CAR.KIA_SORENTO_PHEV_4TH_GEN:
signals.append(("DISTANCE_UNIT", cruise_btn_msg))
checks = [
("WHEEL_SPEEDS", 100),
(gear_msg, 100),

@ -20,7 +20,8 @@ def create_lkas11(packer, frame, car_fingerprint, apply_steer, steer_req,
if car_fingerprint in (CAR.SONATA, CAR.PALISADE, CAR.KIA_NIRO_EV, CAR.KIA_NIRO_HEV_2021, CAR.SANTA_FE,
CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV, CAR.KIA_SELTOS, CAR.ELANTRA_2021, CAR.GENESIS_G70_2020,
CAR.ELANTRA_HEV_2021, CAR.SONATA_HYBRID, CAR.KONA_EV, CAR.KONA_HEV, CAR.KONA_EV_2022,
CAR.SANTA_FE_2022, CAR.KIA_K5_2021, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022):
CAR.SANTA_FE_2022, CAR.KIA_K5_2021, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022,
CAR.SANTA_FE_PHEV_2022, CAR.KIA_STINGER_2022):
values["CF_Lkas_LdwsActivemode"] = int(left_lane) + (int(right_lane) << 1)
values["CF_Lkas_LdwsOpt_USM"] = 2

@ -2,9 +2,9 @@
from cereal import car
from panda import Panda
from common.conversions import Conversions as CV
from selfdrive.car.hyundai.values import HyundaiFlags, CAR, DBC, CANFD_CAR, CAMERA_SCC_CAR, CANFD_RADAR_SCC_CAR, EV_CAR, HYBRID_CAR, LEGACY_SAFETY_MODE_CAR, Buttons, CarControllerParams
from selfdrive.car.hyundai.values import HyundaiFlags, CAR, DBC, CANFD_CAR, CAMERA_SCC_CAR, CANFD_RADAR_SCC_CAR, EV_CAR, HYBRID_CAR, LEGACY_SAFETY_MODE_CAR, Buttons
from selfdrive.car.hyundai.radar_interface import RADAR_START_ADDR
from selfdrive.car import STD_CARGO_KG, create_button_events, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, create_button_events, scale_tire_stiffness, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.disable_ecu import disable_ecu
@ -18,13 +18,7 @@ BUTTONS_DICT = {Buttons.RES_ACCEL: ButtonType.accelCruise, Buttons.SET_DECEL: Bu
class CarInterface(CarInterfaceBase):
@staticmethod
def get_pid_accel_limits(CP, current_speed, cruise_speed):
return CarControllerParams.ACCEL_MIN, CarControllerParams.ACCEL_MAX
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[], experimental_long=False): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "hyundai"
ret.radarOffCan = RADAR_START_ADDR not in fingerprint[1] or DBC[ret.carFingerprint]["radar"] is None
@ -120,8 +114,8 @@ class CarInterface(CarInterfaceBase):
ret.wheelbase = 2.67
ret.steerRatio = 14.00 * 1.15
tire_stiffness_factor = 0.385
elif candidate == CAR.TUCSON_HYBRID_4TH_GEN:
ret.mass = 1680. + STD_CARGO_KG # average of all 3 trims
elif candidate in (CAR.TUCSON_4TH_GEN, CAR.TUCSON_HYBRID_4TH_GEN):
ret.mass = 1630. + STD_CARGO_KG # average
ret.wheelbase = 2.756
ret.steerRatio = 16.
tire_stiffness_factor = 0.385
@ -158,7 +152,7 @@ class CarInterface(CarInterfaceBase):
tire_stiffness_factor = 0.5
if candidate == CAR.KIA_OPTIMA_G4:
ret.minSteerSpeed = 32 * CV.MPH_TO_MS
elif candidate == CAR.KIA_STINGER:
elif candidate in (CAR.KIA_STINGER, CAR.KIA_STINGER_2022):
ret.mass = 1825. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 14.4 * 1.15 # 15% higher at the center seems reasonable
@ -191,6 +185,10 @@ class CarInterface(CarInterfaceBase):
ret.mass = 1767. + STD_CARGO_KG # SX Prestige trim support only
ret.wheelbase = 2.756
ret.steerRatio = 13.6
elif candidate == CAR.KIA_SORENTO_PHEV_4TH_GEN:
ret.mass = 4095.8 * CV.LB_TO_KG + STD_CARGO_KG # weight from EX and above trims, average of FWD and AWD versions (EX, X-Line EX AWD, SX, SX Pestige, X-Line SX Prestige AWD)
ret.wheelbase = 2.81
ret.steerRatio = 13.27 # steering ratio according to Kia News https://www.kiamedia.com/us/en/models/sorento-phev/2022/specifications
# Genesis
elif candidate == CAR.GENESIS_G70:
@ -219,7 +217,7 @@ class CarInterface(CarInterfaceBase):
if candidate in CANFD_CAR:
ret.longitudinalTuning.kpV = [0.1]
ret.longitudinalTuning.kiV = [0.0]
ret.experimentalLongitudinalAvailable = bool(ret.flags & HyundaiFlags.CANFD_HDA2)
ret.experimentalLongitudinalAvailable = candidate in (HYBRID_CAR | EV_CAR) and candidate not in CANFD_RADAR_SCC_CAR
else:
ret.longitudinalTuning.kpV = [0.5]
ret.longitudinalTuning.kiV = [0.0]
@ -269,11 +267,11 @@ class CarInterface(CarInterfaceBase):
elif candidate in EV_CAR:
ret.safetyConfigs[-1].safetyParam |= Panda.FLAG_HYUNDAI_EV_GAS
ret.centerToFront = ret.wheelbase * 0.4
if candidate in (CAR.KONA, CAR.KONA_EV, CAR.KONA_HEV, CAR.KONA_EV_2022):
ret.flags |= HyundaiFlags.ALT_LIMITS.value
ret.safetyConfigs[-1].safetyParam |= Panda.FLAG_HYUNDAI_ALT_LIMITS
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.centerToFront = ret.wheelbase * 0.4
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
@ -283,7 +281,7 @@ class CarInterface(CarInterfaceBase):
@staticmethod
def init(CP, logcan, sendcan):
if CP.openpilotLongitudinalControl:
if CP.openpilotLongitudinalControl and not (CP.flags & HyundaiFlags.CANFD_CAMERA_SCC.value):
addr, bus = 0x7d0, 0
if CP.flags & HyundaiFlags.CANFD_HDA2.value:
addr, bus = 0x730, 5

@ -39,6 +39,12 @@ class CarControllerParams:
CAR.KIA_OPTIMA_H, CAR.KIA_SORENTO):
self.STEER_MAX = 255
# these cars have significantly more torque than most HKG; limit to 70% of max
elif CP.flags & HyundaiFlags.ALT_LIMITS:
self.STEER_MAX = 270
self.STEER_DELTA_UP = 2
self.STEER_DELTA_DOWN = 3
# Default for most HKG
else:
self.STEER_MAX = 384
@ -50,6 +56,8 @@ class HyundaiFlags(IntFlag):
CANFD_ALT_GEARS = 4
CANFD_CAMERA_SCC = 8
ALT_LIMITS = 16
class CAR:
# Hyundai
@ -78,6 +86,7 @@ class CAR:
VELOSTER = "HYUNDAI VELOSTER 2019"
SONATA_HYBRID = "HYUNDAI SONATA HYBRID 2021"
IONIQ_5 = "HYUNDAI IONIQ 5 2022"
TUCSON_4TH_GEN = "HYUNDAI TUCSON 4TH GEN"
TUCSON_HYBRID_4TH_GEN = "HYUNDAI TUCSON HYBRID 4TH GEN"
SANTA_CRUZ_1ST_GEN = "HYUNDAI SANTA CRUZ 1ST GEN"
@ -93,8 +102,10 @@ class CAR:
KIA_SELTOS = "KIA SELTOS 2021"
KIA_SPORTAGE_5TH_GEN = "KIA SPORTAGE 5TH GEN"
KIA_SORENTO = "KIA SORENTO GT LINE 2018"
KIA_SORENTO_PHEV_4TH_GEN = "KIA SORENTO PLUG-IN HYBRID 4TH GEN"
KIA_SPORTAGE_HYBRID_5TH_GEN = "KIA SPORTAGE HYBRID 5TH GEN"
KIA_STINGER = "KIA STINGER GT2 2018"
KIA_STINGER_2022 = "KIA STINGER 2022"
KIA_CEED = "KIA CEED INTRO ED 2019"
KIA_EV6 = "KIA EV6 2022"
@ -147,11 +158,15 @@ CAR_INFO: Dict[str, Optional[Union[HyundaiCarInfo, List[HyundaiCarInfo]]]] = {
CAR.VELOSTER: HyundaiCarInfo("Hyundai Veloster 2019-20", min_enable_speed=5. * CV.MPH_TO_MS, harness=Harness.hyundai_e),
CAR.SONATA_HYBRID: HyundaiCarInfo("Hyundai Sonata Hybrid 2020-22", "All", harness=Harness.hyundai_a),
CAR.IONIQ_5: [
HyundaiCarInfo("Hyundai Ioniq 5 (without HDA II) 2022-23" , "Highway Driving Assist", harness=Harness.hyundai_k),
HyundaiCarInfo("Hyundai Ioniq 5 (without HDA II) 2022-23", "Highway Driving Assist", harness=Harness.hyundai_k),
HyundaiCarInfo("Hyundai Ioniq 5 (with HDA II) 2022-23", "Highway Driving Assist II", harness=Harness.hyundai_q),
],
CAR.TUCSON_4TH_GEN: [
HyundaiCarInfo("Hyundai Tucson 2022", harness=Harness.hyundai_n),
HyundaiCarInfo("Hyundai Tucson 2023", "All", harness=Harness.hyundai_n),
],
CAR.TUCSON_HYBRID_4TH_GEN: HyundaiCarInfo("Hyundai Tucson Hybrid 2022", "All", harness=Harness.hyundai_n),
CAR.SANTA_CRUZ_1ST_GEN: HyundaiCarInfo("Hyundai Santa Cruz 2021-22", "Smart Cruise Control (SCC)", harness=Harness.hyundai_n),
CAR.SANTA_CRUZ_1ST_GEN: HyundaiCarInfo("Hyundai Santa Cruz 2021-22", harness=Harness.hyundai_n),
# Kia
CAR.KIA_FORTE: HyundaiCarInfo("Kia Forte 2019-21", harness=Harness.hyundai_g),
@ -174,13 +189,15 @@ CAR_INFO: Dict[str, Optional[Union[HyundaiCarInfo, List[HyundaiCarInfo]]]] = {
HyundaiCarInfo("Kia Optima Hybrid 2019"),
],
CAR.KIA_SELTOS: HyundaiCarInfo("Kia Seltos 2021", harness=Harness.hyundai_a),
CAR.KIA_SPORTAGE_5TH_GEN: HyundaiCarInfo("Kia Sportage 2023", "Smart Cruise Control (SCC)", harness=Harness.hyundai_n),
CAR.KIA_SPORTAGE_5TH_GEN: HyundaiCarInfo("Kia Sportage 2023", harness=Harness.hyundai_n),
CAR.KIA_SORENTO: [
HyundaiCarInfo("Kia Sorento 2018", "Advanced Smart Cruise Control", "https://www.youtube.com/watch?v=Fkh3s6WHJz8", harness=Harness.hyundai_c),
HyundaiCarInfo("Kia Sorento 2019", video_link="https://www.youtube.com/watch?v=Fkh3s6WHJz8", harness=Harness.hyundai_e),
],
CAR.KIA_SORENTO_PHEV_4TH_GEN: HyundaiCarInfo("Kia Sorento Plug-in Hybrid 2022-23", "Smart Cruise Control (SCC)", harness=Harness.hyundai_a),
CAR.KIA_SPORTAGE_HYBRID_5TH_GEN: HyundaiCarInfo("Kia Sportage Hybrid 2023", harness=Harness.hyundai_n),
CAR.KIA_STINGER: HyundaiCarInfo("Kia Stinger 2018-20", video_link="https://www.youtube.com/watch?v=MJ94qoofYw0", harness=Harness.hyundai_c),
CAR.KIA_STINGER_2022: HyundaiCarInfo("Kia Stinger 2022", "All", harness=Harness.hyundai_k),
CAR.KIA_CEED: HyundaiCarInfo("Kia Ceed 2019", harness=Harness.hyundai_e),
CAR.KIA_EV6: [
HyundaiCarInfo("Kia EV6 (without HDA II) 2022", "Highway Driving Assist", harness=Harness.hyundai_l),
@ -790,6 +807,23 @@ FW_VERSIONS = {
b'\xf1\x00bcsh8p54 E21\x00\x00\x00\x00\x00\x00\x00SCK0T33NB0\x88\xa2\xe6\xf0',
],
},
CAR.KIA_STINGER_2022: {
(Ecu.fwdRadar, 0x7d0, None): [
b'\xf1\x00CK__ SCC F-CUP 1.00 1.00 99110-J5500 ',
],
(Ecu.engine, 0x7e0, None): [
b'\xf1\x81640R0051\x00\x00\x00\x00\x00\x00\x00\x00',
],
(Ecu.eps, 0x7d4, None): [
b'\xf1\x00CK MDPS R 1.00 5.03 57700-J5380 4C2VR503',
],
(Ecu.fwdCamera, 0x7c4, None): [
b'\xf1\x00CK MFC AT AUS RHD 1.00 1.00 99211-J5500 210622',
],
(Ecu.transmission, 0x7e1, None): [
b'\xf1\x87VCNLF11383972DK1vffV\x99\x99\x89\x98\x86eUU\x88wg\x89vfff\x97fff\x99\x87o\xff"\xc1\xf1\x81E30\x00\x00\x00\x00\x00\x00\x00\xf1\x00bcsh8p54 E30\x00\x00\x00\x00\x00\x00\x00SCK0T33GH0\xbe`\xfb\xc6',
],
},
CAR.PALISADE: {
(Ecu.fwdRadar, 0x7d0, None): [
b'\xf1\x00LX2_ SCC F-CUP 1.00 1.04 99110-S8100 ',
@ -1002,11 +1036,13 @@ FW_VERSIONS = {
b'\xf1\x8799110L2000\xf1\000DL3_ SCC FHCUP 1.00 1.03 99110-L2000 ',
b'\xf1\x8799110L2100\xf1\x00DL3_ SCC F-CUP 1.00 1.03 99110-L2100 ',
b'\xf1\x8799110L2100\xf1\x00DL3_ SCC FHCUP 1.00 1.03 99110-L2100 ',
b'\xf1\x00DL3_ SCC F-CUP 1.00 1.03 99110-L2100 ',
],
(Ecu.eps, 0x7D4, None): [
b'\xf1\x8756310-L3110\xf1\000DL3 MDPS C 1.00 1.01 56310-L3110 4DLAC101',
b'\xf1\x8756310-L3220\xf1\x00DL3 MDPS C 1.00 1.01 56310-L3220 4DLAC101',
b'\xf1\x8757700-L3000\xf1\x00DL3 MDPS R 1.00 1.02 57700-L3000 4DLAP102',
b'\xf1\x00DL3 MDPS C 1.00 1.01 56310-L3220 4DLAC101',
],
(Ecu.fwdCamera, 0x7C4, None): [
b'\xf1\x00DL3 MFC AT USA LHD 1.00 1.03 99210-L3000 200915',
@ -1017,6 +1053,7 @@ FW_VERSIONS = {
b'\xf1\x8758910-L3200\xf1\000DL ESC \006 101 \004\002 58910-L3200',
b'\xf1\x8758910-L3800\xf1\x00DL ESC \t 101 \x07\x02 58910-L3800',
b'\xf1\x8758910-L3600\xf1\x00DL ESC \x03 100 \x08\x02 58910-L3600',
b'\xf1\x00DL ESC \t 100 \x06\x02 58910-L3800',
],
(Ecu.engine, 0x7E0, None): [
b'\xf1\x87391212MKT0',
@ -1029,6 +1066,7 @@ FW_VERSIONS = {
b'\xf1\x87SALFEA6046104GK2wvwgeTeFg\x88\x96xwwwwffvfe?\xfd\xff\x86fo\xff\x97A\xf1\x81U913\x00\x00\x00\x00\x00\x00\xf1\x00bcsh8p54 U913\x00\x00\x00\x00\x00\x00TDL2T16NB1ia\x0b\xb8',
b'\xf1\x87SCMSAA8572454GK1\x87x\x87\x88Vf\x86hgwvwvwwgvwwgT?\xfb\xff\x97fo\xffH\xb8\xf1\x81U913\x00\x00\x00\x00\x00\x00\xf1\x00bcsh8p54 U913\x00\x00\x00\x00\x00\x00TDL4T16NB05\x94t\x18',
b'\xf1\x87954A02N300\x00\x00\x00\x00\x00\xf1\x81T02730A1 \xf1\x00T02601BL T02730A1 WDL3T25XXX730NS2b\x1f\xb8%',
b'\xf1\x00bcsh8p54 U913\x00\x00\x00\x00\x00\x00TDL4T16NB05\x94t\x18',
],
},
CAR.KONA_EV: {
@ -1371,6 +1409,14 @@ FW_VERSIONS = {
b'\xf1\x81640F0051\x00\x00\x00\x00\x00\x00\x00\x00'
],
},
CAR.KIA_SORENTO_PHEV_4TH_GEN: {
(Ecu.fwdRadar, 0x7d0, None): [
b'\xf1\x00MQhe SCC FHCUP 1.00 1.06 99110-P4000 ',
],
(Ecu.fwdCamera, 0x7c4, None): [
b'\xf1\x00MQ4HMFC AT USA LHD 1.00 1.11 99210-P2000 211217',
]
},
CAR.KIA_EV6: {
(Ecu.fwdRadar, 0x7d0, None): [
b'\xf1\x00CV1_ RDR ----- 1.00 1.01 99110-CV000 ',
@ -1394,10 +1440,19 @@ FW_VERSIONS = {
b'\xf1\x00NE1 MFC AT USA LHD 1.00 1.05 99211-GI010 220614',
],
},
CAR.TUCSON_4TH_GEN: {
(Ecu.fwdCamera, 0x7c4, None): [
b'\xf1\x00NX4 FR_CMR AT USA LHD 1.00 1.01 99211-N9240 14T',
],
(Ecu.fwdRadar, 0x7d0, None): [
b'\xf1\x00NX4__ 1.01 1.00 99110-N9100 ',
],
},
CAR.TUCSON_HYBRID_4TH_GEN: {
(Ecu.fwdCamera, 0x7c4, None): [
b'\xf1\x00NX4 FR_CMR AT USA LHD 1.00 1.00 99211-N9240 14Q',
b'\xf1\x00NX4 FR_CMR AT USA LHD 1.00 1.00 99211-N9220 14K',
b'\xf1\x00NX4 FR_CMR AT USA LHD 1.00 1.01 99211-N9100 14A',
],
(Ecu.fwdRadar, 0x7d0, None): [
b'\xf1\x00NX4__ 1.00 1.00 99110-N9100 ',
@ -1451,18 +1506,18 @@ FEATURES = {
"use_elect_gears": {CAR.KIA_NIRO_EV, CAR.KIA_NIRO_PHEV, CAR.KIA_NIRO_HEV_2021, CAR.KIA_OPTIMA_H, CAR.IONIQ_EV_LTD, CAR.KONA_EV, CAR.IONIQ, CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV, CAR.ELANTRA_HEV_2021, CAR.SONATA_HYBRID, CAR.KONA_HEV, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022, CAR.IONIQ_PHEV_2019, CAR.KONA_EV_2022},
# these cars use the FCA11 message for the AEB and FCW signals, all others use SCC12
"use_fca": {CAR.SONATA, CAR.SONATA_HYBRID, CAR.ELANTRA, CAR.ELANTRA_2021, CAR.ELANTRA_HEV_2021, CAR.KIA_STINGER, CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV, CAR.KONA_EV, CAR.KIA_FORTE, CAR.KIA_NIRO_EV, CAR.PALISADE, CAR.GENESIS_G70, CAR.GENESIS_G70_2020, CAR.KONA, CAR.SANTA_FE, CAR.KIA_SELTOS, CAR.KONA_HEV, CAR.SANTA_FE_2022, CAR.KIA_K5_2021, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022, CAR.TUCSON, CAR.KONA_EV_2022},
"use_fca": {CAR.SONATA, CAR.SONATA_HYBRID, CAR.ELANTRA, CAR.ELANTRA_2021, CAR.ELANTRA_HEV_2021, CAR.KIA_STINGER, CAR.IONIQ_EV_2020, CAR.IONIQ_PHEV, CAR.KONA_EV, CAR.KIA_FORTE, CAR.KIA_NIRO_EV, CAR.PALISADE, CAR.GENESIS_G70, CAR.GENESIS_G70_2020, CAR.KONA, CAR.SANTA_FE, CAR.KIA_SELTOS, CAR.KONA_HEV, CAR.SANTA_FE_2022, CAR.KIA_K5_2021, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022, CAR.TUCSON, CAR.KONA_EV_2022, CAR.KIA_STINGER_2022},
}
CANFD_CAR = {CAR.KIA_EV6, CAR.IONIQ_5, CAR.TUCSON_HYBRID_4TH_GEN, CAR.KIA_SPORTAGE_HYBRID_5TH_GEN, CAR.SANTA_CRUZ_1ST_GEN, CAR.KIA_SPORTAGE_5TH_GEN, CAR.GENESIS_GV70_1ST_GEN}
CANFD_CAR = {CAR.KIA_EV6, CAR.IONIQ_5, CAR.TUCSON_4TH_GEN, CAR.TUCSON_HYBRID_4TH_GEN, CAR.KIA_SPORTAGE_HYBRID_5TH_GEN, CAR.SANTA_CRUZ_1ST_GEN, CAR.KIA_SPORTAGE_5TH_GEN, CAR.GENESIS_GV70_1ST_GEN, CAR.KIA_SORENTO_PHEV_4TH_GEN}
# The radar does SCC on these cars when HDA I, rather than the camera
CANFD_RADAR_SCC_CAR = {CAR.GENESIS_GV70_1ST_GEN, }
CANFD_RADAR_SCC_CAR = {CAR.GENESIS_GV70_1ST_GEN, CAR.KIA_SORENTO_PHEV_4TH_GEN}
# The camera does SCC on these cars, rather than the radar
CAMERA_SCC_CAR = {CAR.KONA_EV_2022, }
HYBRID_CAR = {CAR.IONIQ_PHEV, CAR.ELANTRA_HEV_2021, CAR.KIA_NIRO_PHEV, CAR.KIA_NIRO_HEV_2021, CAR.SONATA_HYBRID, CAR.KONA_HEV, CAR.IONIQ, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022, CAR.IONIQ_PHEV_2019, CAR.TUCSON_HYBRID_4TH_GEN, CAR.KIA_SPORTAGE_HYBRID_5TH_GEN} # these cars use a different gas signal
HYBRID_CAR = {CAR.IONIQ_PHEV, CAR.ELANTRA_HEV_2021, CAR.KIA_NIRO_PHEV, CAR.KIA_NIRO_HEV_2021, CAR.SONATA_HYBRID, CAR.KONA_HEV, CAR.IONIQ, CAR.IONIQ_HEV_2022, CAR.SANTA_FE_HEV_2022, CAR.SANTA_FE_PHEV_2022, CAR.IONIQ_PHEV_2019, CAR.TUCSON_HYBRID_4TH_GEN, CAR.KIA_SPORTAGE_HYBRID_5TH_GEN, CAR.KIA_SORENTO_PHEV_4TH_GEN} # these cars use a different gas signal
EV_CAR = {CAR.IONIQ_EV_2020, CAR.IONIQ_EV_LTD, CAR.KONA_EV, CAR.KIA_NIRO_EV, CAR.KONA_EV_2022, CAR.KIA_EV6, CAR.IONIQ_5}
# these cars require a special panda safety mode due to missing counters and checksums in the messages
@ -1496,6 +1551,7 @@ DBC = {
CAR.KIA_SELTOS: dbc_dict('hyundai_kia_generic', None),
CAR.KIA_SORENTO: dbc_dict('hyundai_kia_generic', None), # Has 0x5XX messages, but different format
CAR.KIA_STINGER: dbc_dict('hyundai_kia_generic', None),
CAR.KIA_STINGER_2022: dbc_dict('hyundai_kia_generic', None),
CAR.KONA: dbc_dict('hyundai_kia_generic', None),
CAR.KONA_EV: dbc_dict('hyundai_kia_generic', None),
CAR.KONA_EV_2022: dbc_dict('hyundai_kia_generic', None),
@ -1512,10 +1568,12 @@ DBC = {
CAR.KIA_CEED: dbc_dict('hyundai_kia_generic', None),
CAR.KIA_EV6: dbc_dict('hyundai_canfd', None),
CAR.SONATA_HYBRID: dbc_dict('hyundai_kia_generic', 'hyundai_kia_mando_front_radar_generated'),
CAR.TUCSON_4TH_GEN: dbc_dict('hyundai_canfd', None),
CAR.TUCSON_HYBRID_4TH_GEN: dbc_dict('hyundai_canfd', None),
CAR.IONIQ_5: dbc_dict('hyundai_canfd', None),
CAR.SANTA_CRUZ_1ST_GEN: dbc_dict('hyundai_canfd', None),
CAR.KIA_SPORTAGE_5TH_GEN: dbc_dict('hyundai_canfd', None),
CAR.KIA_SPORTAGE_HYBRID_5TH_GEN: dbc_dict('hyundai_canfd', None),
CAR.GENESIS_GV70_1ST_GEN: dbc_dict('hyundai_canfd', None),
CAR.KIA_SORENTO_PHEV_4TH_GEN: dbc_dict('hyundai_canfd', None),
}

@ -10,8 +10,8 @@ from common.conversions import Conversions as CV
from common.kalman.simple_kalman import KF1D
from common.numpy_fast import interp
from common.realtime import DT_CTRL
from selfdrive.car import apply_hysteresis, gen_empty_fingerprint
from selfdrive.controls.lib.drive_helpers import V_CRUISE_MAX, apply_deadzone
from selfdrive.car import apply_hysteresis, gen_empty_fingerprint, scale_rot_inertia, scale_tire_stiffness
from selfdrive.controls.lib.drive_helpers import V_CRUISE_MAX, apply_center_deadzone
from selfdrive.controls.lib.events import Events
from selfdrive.controls.lib.vehicle_model import VehicleModel
@ -88,10 +88,34 @@ class CarInterfaceBase(ABC):
def get_pid_accel_limits(CP, current_speed, cruise_speed):
return ACCEL_MIN, ACCEL_MAX
@classmethod
def get_params(cls, candidate: str, fingerprint: Optional[Dict[int, Dict[int, int]]] = None, car_fw: Optional[List[car.CarParams.CarFw]] = None, experimental_long: bool = False):
if fingerprint is None:
fingerprint = gen_empty_fingerprint()
if car_fw is None:
car_fw = list()
ret = CarInterfaceBase.get_std_params(candidate)
ret = cls._get_params(ret, candidate, fingerprint, car_fw, experimental_long)
# Set common params using fields set by the car interface
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: some car interfaces set stiffness factor
if ret.tireStiffnessFront == 0 or ret.tireStiffnessRear == 0:
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
return ret
@staticmethod
@abstractmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
pass
def _get_params(ret: car.CarParams, candidate: str, fingerprint: Dict[int, Dict[int, int]], car_fw: List[car.CarParams.CarFw], experimental_long: bool):
raise NotImplementedError
@staticmethod
def init(CP, logcan, sendcan):
@ -110,7 +134,7 @@ class CarInterfaceBase(ABC):
def torque_from_lateral_accel_linear(lateral_accel_value, torque_params, lateral_accel_error, lateral_accel_deadzone, friction_compensation):
# The default is a linear relationship between torque and lateral acceleration (accounting for road roll and steering friction)
friction_interp = interp(
apply_deadzone(lateral_accel_error, lateral_accel_deadzone),
apply_center_deadzone(lateral_accel_error, lateral_accel_deadzone),
[-FRICTION_THRESHOLD, FRICTION_THRESHOLD],
[-torque_params.friction, torque_params.friction]
)
@ -122,7 +146,7 @@ class CarInterfaceBase(ABC):
# returns a set of default params to avoid repetition in car specific params
@staticmethod
def get_std_params(candidate, fingerprint):
def get_std_params(candidate):
ret = car.CarParams.new_message()
ret.carFingerprint = candidate
@ -251,14 +275,9 @@ class CarInterfaceBase(ABC):
# Enable OP long on falling edge of enable buttons (defaults to accelCruise and decelCruise, overridable per-port)
if not self.CP.pcmCruise and (b.type in enable_buttons and not b.pressed):
events.add(EventName.buttonEnable)
# Disable while cancel is depressed on rising edge of cancel for both stock and OP long
# Disable on rising and falling edge of cancel for both stock and OP long
if b.type == ButtonType.cancel:
self.cancel_depressed = b.pressed
# noEntry while cancel is depressed, matches panda
if self.cancel_depressed:
events.add(EventName.buttonCancel)
events.add(EventName.buttonCancel)
# Handle permanent and temporary steering faults
self.steering_unpressed = 0 if cs_out.steeringPressed else self.steering_unpressed + 1

@ -137,17 +137,17 @@ class IsoTpParallelQuery:
else:
response_timeouts[tx_addr] = 0
request_done[tx_addr] = True
cloudlog.warning(f"iso-tp query bad response: {tx_addr} - 0x{dat.hex()}")
cloudlog.error(f"iso-tp query bad response: {tx_addr} - 0x{dat.hex()}")
cur_time = time.monotonic()
if cur_time - max(response_timeouts.values()) > 0:
for tx_addr in msgs:
if request_counter[tx_addr] > 0 and not request_done[tx_addr]:
cloudlog.warning(f"iso-tp query timeout after receiving response: {tx_addr}")
cloudlog.error(f"iso-tp query timeout after receiving response: {tx_addr}")
break
if cur_time - start_time > total_timeout:
cloudlog.warning("iso-tp query timeout while receiving data")
cloudlog.error("iso-tp query timeout while receiving data")
break
return results

@ -2,7 +2,7 @@
from cereal import car
from common.conversions import Conversions as CV
from selfdrive.car.mazda.values import CAR, LKAS_LIMITS
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, scale_tire_stiffness, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
ButtonType = car.CarState.ButtonEvent.Type
@ -11,9 +11,7 @@ EventName = car.CarEvent.EventName
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "mazda"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.mazda)]
ret.radarOffCan = True
@ -48,10 +46,6 @@ class CarInterface(CarInterfaceBase):
ret.centerToFront = ret.wheelbase * 0.41
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,

@ -1,39 +1,28 @@
#!/usr/bin/env python3
import math
from cereal import car
from common.conversions import Conversions as CV
from system.swaglog import cloudlog
import cereal.messaging as messaging
from selfdrive.car import gen_empty_fingerprint, get_safety_config
from selfdrive.car import get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
# mocked car interface to work with chffrplus
TS = 0.01 # 100Hz
YAW_FR = 0.2 # ~0.8s time constant on yaw rate filter
# low pass gain
LPG = 2 * math.pi * YAW_FR * TS / (1 + 2 * math.pi * YAW_FR * TS)
# mocked car interface to work with chffrplus
class CarInterface(CarInterfaceBase):
def __init__(self, CP, CarController, CarState):
super().__init__(CP, CarController, CarState)
cloudlog.debug("Using Mock Car Interface")
self.sm = messaging.SubMaster(['gyroscope', 'gpsLocation', 'gpsLocationExternal'])
self.sm = messaging.SubMaster(['gpsLocation', 'gpsLocationExternal'])
self.speed = 0.
self.prev_speed = 0.
self.yaw_rate = 0.
self.yaw_rate_meas = 0.
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "mock"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.noOutput)]
ret.mass = 1700.
ret.rotationalInertia = 2500.
ret.wheelbase = 2.70
ret.centerToFront = ret.wheelbase * 0.5
ret.steerRatio = 13. # reasonable
@ -45,11 +34,6 @@ class CarInterface(CarInterfaceBase):
# returns a car.CarState
def _update(self, c):
self.sm.update(0)
# get basic data from phone and gps since CAN isn't connected
if self.sm.updated['gyroscope']:
self.yaw_rate_meas = -self.sm['gyroscope'].gyroUncalibrated.v[0]
gps_sock = 'gpsLocationExternal' if self.sm.rcv_frame['gpsLocationExternal'] > 1 else 'gpsLocation'
if self.sm.updated[gps_sock]:
self.prev_speed = self.speed
@ -61,10 +45,9 @@ class CarInterface(CarInterfaceBase):
# speeds
ret.vEgo = self.speed
ret.vEgoRaw = self.speed
a = self.speed - self.prev_speed
ret.aEgo = a
ret.brakePressed = a < -0.5
ret.aEgo = self.speed - self.prev_speed
ret.brakePressed = ret.aEgo < -0.5
ret.standstill = self.speed < 0.01
ret.wheelSpeeds.fl = self.speed
@ -72,10 +55,6 @@ class CarInterface(CarInterfaceBase):
ret.wheelSpeeds.rl = self.speed
ret.wheelSpeeds.rr = self.speed
self.yawRate = LPG * self.yaw_rate_meas + (1. - LPG) * self.yaw_rate
curvature = self.yaw_rate / max(self.speed, 1.)
ret.steeringAngleDeg = curvature * self.CP.steerRatio * self.CP.wheelbase * CV.RAD_TO_DEG
return ret
def apply(self, c):

@ -1,6 +1,6 @@
#!/usr/bin/env python3
from cereal import car
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.nissan.values import CAR
@ -8,9 +8,7 @@ from selfdrive.car.nissan.values import CAR
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "nissan"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.nissan)]
ret.autoResumeSng = False
@ -20,6 +18,9 @@ class CarInterface(CarInterfaceBase):
ret.steerActuatorDelay = 0.1
ret.steerRatio = 17
ret.steerControlType = car.CarParams.SteerControlType.angle
ret.radarOffCan = True
if candidate in (CAR.ROGUE, CAR.XTRAIL):
ret.mass = 1610 + STD_CARGO_KG
ret.wheelbase = 2.705
@ -35,17 +36,6 @@ class CarInterface(CarInterfaceBase):
ret.wheelbase = 2.824
ret.centerToFront = ret.wheelbase * 0.44
ret.steerControlType = car.CarParams.SteerControlType.angle
ret.radarOffCan = True
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
return ret
# returns a car.CarState

@ -1,7 +1,7 @@
#!/usr/bin/env python3
from cereal import car
from panda import Panda
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.subaru.values import CAR, GLOBAL_GEN2, PREGLOBAL_CARS
@ -9,9 +9,7 @@ from selfdrive.car.subaru.values import CAR, GLOBAL_GEN2, PREGLOBAL_CARS
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "subaru"
ret.radarOffCan = True
ret.dashcamOnly = candidate in PREGLOBAL_CARS
@ -103,14 +101,6 @@ class CarInterface(CarInterfaceBase):
else:
raise ValueError(f"unknown car: {candidate}")
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
return ret
# returns a car.CarState

@ -63,7 +63,7 @@ CAR_INFO: Dict[str, Union[SubaruCarInfo, List[SubaruCarInfo]]] = {
],
CAR.IMPREZA_2020: [
SubaruCarInfo("Subaru Impreza 2020-22"),
SubaruCarInfo("Subaru Crosstrek 2020-21"),
SubaruCarInfo("Subaru Crosstrek 2020-23"),
SubaruCarInfo("Subaru XV 2020-21"),
],
CAR.FORESTER: SubaruCarInfo("Subaru Forester 2019-21", "All"),
@ -235,12 +235,14 @@ FW_VERSIONS = {
b'\x9a\xc0\000\000',
b'\n\xc0\004\000',
b'\x9a\xc0\x04\x00',
b'\n\xc0\x04\x01',
],
(Ecu.fwdCamera, 0x787, None): [
b'\000\000eb\037@ \"',
b'\000\000e\x8f\037@ )',
b'\x00\x00eq\x1f@ "',
b'\x00\x00eq\x00\x00\x00\x00',
b'\x00\x00e\x8f\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\xca!ap\a',
@ -250,6 +252,7 @@ FW_VERSIONS = {
b'\xcc!fp\a',
b'\xca!f@\x07',
b'\xca!fp\x07',
b'\xf3"f@\x07',
],
(Ecu.transmission, 0x7e1, None): [
b'\xe6\xf5\004\000\000',
@ -258,6 +261,7 @@ FW_VERSIONS = {
b'\xe7\xf5D0\000',
b'\xf1\x00\xd7\x10@',
b'\xe6\xf5D0\x00',
b'\xe9\xf6F0\x00',
],
},
CAR.FORESTER: {
@ -461,6 +465,7 @@ FW_VERSIONS = {
b'\xa1 \x08\x02',
b'\xa1 \x06\x02',
b'\xa1 \x08\x00',
b'\xa1 "\t\x00',
],
(Ecu.eps, 0x746, None): [
b'\x9b\xc0\x10\x00',
@ -482,6 +487,7 @@ FW_VERSIONS = {
b'\xe2"`p\x07',
b'\xf1\x82\xe2,\xa0@\x07',
b'\xbc"`q\x07',
b'\xe3,\xa0@\x07',
],
(Ecu.transmission, 0x7e1, None): [
b'\xa5\xfe\xf7@\x00',

@ -2,14 +2,13 @@
from cereal import car
from panda import Panda
from selfdrive.car.tesla.values import CANBUS, CAR
from selfdrive.car import STD_CARGO_KG, gen_empty_fingerprint, scale_rot_inertia, scale_tire_stiffness, get_safety_config
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
class CarInterface(CarInterfaceBase):
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "tesla"
# There is no safe way to do steer blending with user torque,
@ -51,9 +50,6 @@ class CarInterface(CarInterfaceBase):
else:
raise ValueError(f"Unsupported car: {candidate}")
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront)
return ret
def _update(self, c):

@ -99,8 +99,8 @@ BUTTONS = [
Button(car.CarState.ButtonEvent.Type.rightBlinker, "STW_ACTN_RQ", "TurnIndLvr_Stat", [2]),
Button(car.CarState.ButtonEvent.Type.accelCruise, "STW_ACTN_RQ", "SpdCtrlLvr_Stat", [4, 16]),
Button(car.CarState.ButtonEvent.Type.decelCruise, "STW_ACTN_RQ", "SpdCtrlLvr_Stat", [8, 32]),
Button(car.CarState.ButtonEvent.Type.cancel, "STW_ACTN_RQ", "SpdCtrlLvr_Stat", [2]),
Button(car.CarState.ButtonEvent.Type.resumeCruise, "STW_ACTN_RQ", "SpdCtrlLvr_Stat", [1]),
Button(car.CarState.ButtonEvent.Type.cancel, "STW_ACTN_RQ", "SpdCtrlLvr_Stat", [1]),
Button(car.CarState.ButtonEvent.Type.resumeCruise, "STW_ACTN_RQ", "SpdCtrlLvr_Stat", [2]),
]
class CarControllerParams:

@ -22,7 +22,6 @@ non_tested_cars = [
GM.HOLDEN_ASTRA,
GM.MALIBU,
GM.EQUINOX,
GM.BOLT_EV,
HYUNDAI.GENESIS_G90,
HYUNDAI.KIA_OPTIMA_H,
HONDA.ODYSSEY_CHN,
@ -51,6 +50,7 @@ routes = [
CarTestRoute("46460f0da08e621e|2021-10-26--07-21-46", GM.ESCALADE_ESV),
CarTestRoute("c950e28c26b5b168|2018-05-30--22-03-41", GM.VOLT),
CarTestRoute("f08912a233c1584f|2022-08-11--18-02-41", GM.BOLT_EUV, segment=1),
CarTestRoute("555d4087cf86aa91|2022-12-02--12-15-07", GM.BOLT_EUV, segment=14), # Bolt EV
CarTestRoute("38aa7da107d5d252|2022-08-15--16-01-12", GM.SILVERADO),
CarTestRoute("0e7a2ba168465df5|2020-10-18--14-14-22", HONDA.ACURA_RDX_3G),
@ -96,8 +96,10 @@ routes = [
CarTestRoute("5b7c365c50084530|2020-04-15--16-13-24", HYUNDAI.SONATA),
CarTestRoute("b2a38c712dcf90bd|2020-05-18--18-12-48", HYUNDAI.SONATA_LF),
CarTestRoute("fb3fd42f0baaa2f8|2022-03-30--15-25-05", HYUNDAI.TUCSON),
CarTestRoute("db68bbe12250812c|2022-12-05--00-54-12", HYUNDAI.TUCSON_4TH_GEN), # 2023
CarTestRoute("36e10531feea61a4|2022-07-25--13-37-42", HYUNDAI.TUCSON_HYBRID_4TH_GEN),
CarTestRoute("5875672fc1d4bf57|2020-07-23--21-33-28", HYUNDAI.KIA_SORENTO),
CarTestRoute("628935d7d3e5f4f7|2022-11-30--01-12-46", HYUNDAI.KIA_SORENTO_PHEV_4TH_GEN),
CarTestRoute("9c917ba0d42ffe78|2020-04-17--12-43-19", HYUNDAI.PALISADE),
CarTestRoute("05a8f0197fdac372|2022-10-19--14-14-09", HYUNDAI.IONIQ_5), # HDA2
CarTestRoute("3f29334d6134fcd4|2022-03-30--22-00-50", HYUNDAI.IONIQ_PHEV_2019),
@ -111,6 +113,7 @@ routes = [
CarTestRoute("ff973b941a69366f|2022-07-28--22-01-19", HYUNDAI.KONA_EV_2022, segment=11),
CarTestRoute("49f3c13141b6bc87|2021-07-28--08-05-13", HYUNDAI.KONA_HEV),
CarTestRoute("5dddcbca6eb66c62|2020-07-26--13-24-19", HYUNDAI.KIA_STINGER),
CarTestRoute("5b50b883a4259afb|2022-11-09--15-00-42", HYUNDAI.KIA_STINGER_2022),
CarTestRoute("d624b3d19adce635|2020-08-01--14-59-12", HYUNDAI.VELOSTER),
CarTestRoute("d545129f3ca90f28|2022-10-19--09-22-54", HYUNDAI.KIA_EV6), # HDA2
CarTestRoute("68d6a96e703c00c9|2022-09-10--16-09-39", HYUNDAI.KIA_EV6), # HDA1

@ -31,6 +31,8 @@ class TestCarInterfaces(unittest.TestCase):
assert car_interface
self.assertGreater(car_params.mass, 1)
self.assertGreater(car_params.wheelbase, 0)
self.assertGreater(car_params.centerToFront, 0)
self.assertGreater(car_params.maxLateralAccel, 0)
if car_params.steerControlType != car.CarParams.SteerControlType.angle:

@ -9,7 +9,6 @@ from parameterized import parameterized_class
from cereal import log, car
from common.realtime import DT_CTRL
from selfdrive.boardd.boardd import can_capnp_to_can_list
from selfdrive.car.fingerprints import all_known_cars
from selfdrive.car.car_helpers import interfaces
from selfdrive.car.gm.values import CAR as GM
@ -20,8 +19,7 @@ from selfdrive.test.openpilotci import get_url
from tools.lib.logreader import LogReader
from tools.lib.route import Route
from panda.tests.safety import libpandasafety_py
from panda.tests.safety.common import package_can_msg
from panda.tests.libpanda import libpanda_py
PandaType = log.PandaState.PandaType
@ -118,7 +116,7 @@ class TestCarModelBase(unittest.TestCase):
assert self.CI
# TODO: check safetyModel is in release panda build
self.safety = libpandasafety_py.libpandasafety
self.safety = libpanda_py.libpanda
cfg = self.CP.safetyConfigs[-1]
set_status = self.safety.set_safety_hooks(cfg.safetyModel.raw, cfg.safetyParam)
@ -192,7 +190,7 @@ class TestCarModelBase(unittest.TestCase):
if msg.src >= 64:
continue
to_send = package_can_msg([msg.address, 0, msg.dat, msg.src % 4])
to_send = libpanda_py.make_CANPacket(msg.address, msg.src % 4, msg.dat)
if self.safety.safety_rx_hook(to_send) != 1:
failed_addrs[hex(msg.address)] += 1
@ -215,8 +213,8 @@ class TestCarModelBase(unittest.TestCase):
# warm up pass, as initial states may be different
for can in self.can_msgs[:300]:
self.CI.update(CC, (can.as_builder().to_bytes(), ))
for msg in can_capnp_to_can_list(can.can, src_filter=range(64)):
to_send = package_can_msg(msg)
for msg in filter(lambda m: m.src in range(64), can.can):
to_send = libpanda_py.make_CANPacket(msg.address, msg.src, msg.dat)
self.safety.safety_rx_hook(to_send)
controls_allowed_prev = False
@ -224,10 +222,8 @@ class TestCarModelBase(unittest.TestCase):
checks = defaultdict(lambda: 0)
for idx, can in enumerate(self.can_msgs):
CS = self.CI.update(CC, (can.as_builder().to_bytes(), ))
for msg in can_capnp_to_can_list(can.can, src_filter=range(64)):
msg = list(msg)
msg[3] %= 4
to_send = package_can_msg(msg)
for msg in filter(lambda m: m.src in range(64), can.can):
to_send = libpanda_py.make_CANPacket(msg.address, msg.src % 4, msg.dat)
ret = self.safety.safety_rx_hook(to_send)
self.assertEqual(1, ret, f"safety rx failed ({ret=}): {to_send}")

@ -30,11 +30,11 @@ CHEVROLET SILVERADO 1500 2020: [1.9, 1.9, 0.112]
CHEVROLET EQUINOX 2019: [2.0, 2.0, 0.05]
VOLKSWAGEN PASSAT NMS: [2.5, 2.5, 0.1]
VOLKSWAGEN SHARAN 2ND GEN: [2.5, 2.5, 0.1]
HYUNDAI TUCSON HYBRID 4TH GEN: [2.5, 2.5, 0.0]
HYUNDAI SANTA CRUZ 1ST GEN: [2.7, 2.7, 0.0]
KIA SPORTAGE 5TH GEN: [2.7, 2.7, 0.0]
KIA SPORTAGE HYBRID 5TH GEN: [2.5, 2.5, 0.0]
GENESIS GV70 1ST GEN: [2.42, 2.42, 0.01]
HYUNDAI SANTA CRUZ 1ST GEN: [2.7, 2.7, 0.1]
KIA SPORTAGE 5TH GEN: [2.7, 2.7, 0.1]
KIA SPORTAGE HYBRID 5TH GEN: [2.5, 2.5, 0.1]
GENESIS GV70 1ST GEN: [2.42, 2.42, 0.1]
KIA SORENTO PLUG-IN HYBRID 4TH GEN: [2.5, 2.5, 0.1]
# Dashcam or fallback configured as ideal car
mock: [10.0, 10, 0.0]

@ -27,10 +27,11 @@ HONDA PILOT 2017: [1.7262026201812795, 0.9470005614967523, 0.21351430733218763]
HONDA RIDGELINE 2017: [1.4146525028237624, 0.7356572861629564, 0.23307177552211328]
HYUNDAI ELANTRA 2021: [3.169, 2.1259108157250735, 0.0819]
HYUNDAI GENESIS 2015-2016: [1.8466226943929824, 1.5552063647830634, 0.0984484465421171]
HYUNDAI IONIQ 5 2022: [3.172929, 3.0, 0.096019]
HYUNDAI IONIQ ELECTRIC LIMITED 2019: [1.7662975472852054, 1.613755614526594, 0.17087579756306276]
HYUNDAI IONIQ PHEV 2020: [3.2928700076638537, 2.1193482926455656, 0.12463700961468778]
HYUNDAI IONIQ PLUG-IN HYBRID 2019: [2.970807902012267, 1.6312321830002083, 0.1088964990357482]
HYUNDAI KONA ELECTRIC 2019: [4.398306735170212, 3.2961956260770484, 0.08651833437845884]
HYUNDAI KONA ELECTRIC 2019: [3.078814714619148, 3.2961956260770484, 0.08651833437845884]
HYUNDAI PALISADE 2020: [2.544642494803999, 1.8721703683337008, 0.1301424599248651]
HYUNDAI SANTA FE 2019: [3.0787027729757632, 2.6173437483495565, 0.1207019341823945]
HYUNDAI SANTA FE HYBRID 2022: [3.501877602644835, 2.729064118456137, 0.10384068104538963]
@ -38,6 +39,7 @@ HYUNDAI SANTA FE PlUG-IN HYBRID 2022: [1.6953050513611045, 1.5837614296206861, 0
HYUNDAI SONATA 2019: [2.2200457811703953, 1.2967330275895228, 0.14039920986586393]
HYUNDAI SONATA 2020: [2.9638737459977467, 2.1259108157250735, 0.07813665616927593]
HYUNDAI SONATA HYBRID 2021: [2.8990264092395734, 2.061410192222139, 0.0899805488717382]
HYUNDAI TUCSON HYBRID 4TH GEN: [2.035545, 2.035545, 0.110272]
JEEP GRAND CHEROKEE 2019: [1.7321233388827006, 1.289689569171081, 0.15046331002097185]
JEEP GRAND CHEROKEE V6 2018: [1.8776598027756923, 1.4057367824262523, 0.11725947414922003]
KIA EV6 2022: [3.2, 3.0, 0.05]
@ -76,7 +78,7 @@ TOYOTA HIGHLANDER 2020: [2.022340166827233, 1.6183134804881791, 0.14592306380054
TOYOTA HIGHLANDER HYBRID 2018: [1.752033, 1.6433903296845025, 0.144600]
TOYOTA HIGHLANDER HYBRID 2020: [1.901174, 2.104015182965606, 0.14447040132184993]
TOYOTA MIRAI 2021: [2.506899832157829, 1.7417213930750164, 0.20182618449440565]
TOYOTA PRIUS 2017: [1.746445, 1.5023147650693636, 0.151515]
TOYOTA PRIUS 2017: [1.60, 1.5023147650693636, 0.151515]
TOYOTA PRIUS TSS2 2021: [1.972600, 1.9104337425537743, 0.170968]
TOYOTA RAV4 2017: [2.085695074355425, 2.2142832316984733, 0.13339165270103975]
TOYOTA RAV4 2019: [2.331293, 2.0993589721530252, 0.129822]

@ -29,14 +29,15 @@ HYUNDAI VELOSTER 2019: HYUNDAI SONATA 2019
HYUNDAI KONA 2020: HYUNDAI KONA ELECTRIC 2019
HYUNDAI KONA HYBRID 2020: HYUNDAI KONA ELECTRIC 2019
HYUNDAI KONA ELECTRIC 2022: HYUNDAI KONA ELECTRIC 2019
HYUNDAI IONIQ 5 2022: KIA EV6 2022
HYUNDAI IONIQ HYBRID 2017-2019: HYUNDAI IONIQ PLUG-IN HYBRID 2019
HYUNDAI IONIQ HYBRID 2020-2022: HYUNDAI IONIQ PLUG-IN HYBRID 2019
HYUNDAI IONIQ ELECTRIC 2020: HYUNDAI IONIQ PLUG-IN HYBRID 2019
HYUNDAI ELANTRA 2017: HYUNDAI SONATA 2019
HYUNDAI ELANTRA HYBRID 2021: HYUNDAI SONATA 2020
HYUNDAI TUCSON 2019: HYUNDAI SANTA FE 2019
HYUNDAI TUCSON 4TH GEN: HYUNDAI TUCSON HYBRID 4TH GEN
HYUNDAI SANTA FE 2022: HYUNDAI SANTA FE HYBRID 2022
KIA STINGER 2022: KIA STINGER GT2 2018
GENESIS G90 2017: GENESIS G70 2018
GENESIS G80 2017: GENESIS G70 2018
GENESIS G70 2020: HYUNDAI SONATA 2020

@ -6,7 +6,7 @@ from common.realtime import DT_CTRL
from opendbc.can.can_define import CANDefine
from opendbc.can.parser import CANParser
from selfdrive.car.interfaces import CarStateBase
from selfdrive.car.toyota.values import ToyotaFlags, DBC, STEER_THRESHOLD, NO_STOP_TIMER_CAR, TSS2_CAR, RADAR_ACC_CAR, EPS_SCALE, UNSUPPORTED_DSU_CAR
from selfdrive.car.toyota.values import ToyotaFlags, DBC, STEER_THRESHOLD, TSS2_CAR, RADAR_ACC_CAR, EPS_SCALE, UNSUPPORTED_DSU_CAR
class CarState(CarStateBase):
@ -85,16 +85,20 @@ class CarState(CarStateBase):
ret.steeringTorqueEps = cp.vl["STEER_TORQUE_SENSOR"]["STEER_TORQUE_EPS"] * self.eps_torque_scale
# we could use the override bit from dbc, but it's triggered at too high torque values
ret.steeringPressed = abs(ret.steeringTorque) > STEER_THRESHOLD
# steer rate fault, goes to 21 or 25 for 1 frame, then 9 for ~2 seconds
ret.steerFaultTemporary = cp.vl["EPS_STATUS"]["LKA_STATE"] in (0, 9, 21, 25)
# steer rate fault: goes to 21 or 25 for 1 frame, then 9 for 2 seconds
# lka msg drop out: goes to 9 then 11 for a combined total of 2 seconds
ret.steerFaultTemporary = cp.vl["EPS_STATUS"]["LKA_STATE"] in (0, 9, 11, 21, 25)
# 17 is a fault from a prolonged high torque delta between cmd and user
ret.steerFaultPermanent = cp.vl["EPS_STATUS"]["LKA_STATE"] == 17
# 3 is a fault from the lka command message not being received by the EPS
ret.steerFaultPermanent = cp.vl["EPS_STATUS"]["LKA_STATE"] in (3, 17)
if self.CP.carFingerprint in UNSUPPORTED_DSU_CAR:
# TODO: find the bit likely in DSU_CRUISE that describes an ACC fault. one may also exist in CLUTCH
ret.cruiseState.available = cp.vl["DSU_CRUISE"]["MAIN_ON"] != 0
ret.cruiseState.speed = cp.vl["DSU_CRUISE"]["SET_SPEED"] * CV.KPH_TO_MS
cluster_set_speed = cp.vl["PCM_CRUISE_ALT"]["UI_SET_SPEED"]
else:
ret.accFaulted = cp.vl["PCM_CRUISE_2"]["ACC_FAULTED"] != 0
ret.cruiseState.available = cp.vl["PCM_CRUISE_2"]["MAIN_ON"] != 0
ret.cruiseState.speed = cp.vl["PCM_CRUISE_2"]["SET_SPEED"] * CV.KPH_TO_MS
cluster_set_speed = cp.vl["PCM_CRUISE_SM"]["UI_SET_SPEED"]
@ -120,12 +124,7 @@ class CarState(CarStateBase):
self.low_speed_lockout = cp.vl["PCM_CRUISE_2"]["LOW_SPEED_LOCKOUT"] == 2
self.pcm_acc_status = cp.vl["PCM_CRUISE"]["CRUISE_STATE"]
if self.CP.carFingerprint in NO_STOP_TIMER_CAR or self.CP.enableGasInterceptor:
# ignore standstill in hybrid vehicles, since pcm allows to restart without
# receiving any special command. Also if interceptor is detected
ret.cruiseState.standstill = False
else:
ret.cruiseState.standstill = self.pcm_acc_status == 7
ret.cruiseState.standstill = self.pcm_acc_status == 7
ret.cruiseState.enabled = bool(cp.vl["PCM_CRUISE"]["CRUISE_ACTIVE"])
ret.cruiseState.nonAdaptive = cp.vl["PCM_CRUISE"]["CRUISE_STATE"] in (1, 2, 3, 4, 5, 6)
@ -208,6 +207,7 @@ class CarState(CarStateBase):
else:
signals.append(("MAIN_ON", "PCM_CRUISE_2"))
signals.append(("SET_SPEED", "PCM_CRUISE_2"))
signals.append(("ACC_FAULTED", "PCM_CRUISE_2"))
signals.append(("LOW_SPEED_LOCKOUT", "PCM_CRUISE_2"))
checks.append(("PCM_CRUISE_2", 33))

@ -3,7 +3,7 @@ from cereal import car
from common.conversions import Conversions as CV
from panda import Panda
from selfdrive.car.toyota.values import Ecu, CAR, ToyotaFlags, TSS2_CAR, RADAR_ACC_CAR, NO_DSU_CAR, MIN_ACC_SPEED, EPS_SCALE, EV_HYBRID_CAR, UNSUPPORTED_DSU_CAR, CarControllerParams, NO_STOP_TIMER_CAR
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, scale_tire_stiffness, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
EventName = car.CarEvent.EventName
@ -15,9 +15,7 @@ class CarInterface(CarInterfaceBase):
return CarControllerParams.ACCEL_MIN, CarControllerParams.ACCEL_MAX
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=[], experimental_long=False): # pylint: disable=dangerous-default-value
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "toyota"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.toyota)]
ret.safetyConfigs[0].safetyParam = EPS_SCALE[candidate]
@ -42,7 +40,8 @@ class CarInterface(CarInterfaceBase):
# Only give steer angle deadzone to for bad angle sensor prius
for fw in car_fw:
if fw.ecu == "eps" and not fw.fwVersion == b'8965B47060\x00\x00\x00\x00\x00\x00':
steering_angle_deadzone_deg = 1.0
steering_angle_deadzone_deg = 0.2
ret.steerActuatorDelay = 0.25
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning, steering_angle_deadzone_deg)
elif candidate == CAR.PRIUS_V:
@ -51,7 +50,6 @@ class CarInterface(CarInterfaceBase):
ret.steerRatio = 17.4
tire_stiffness_factor = 0.5533
ret.mass = 3340. * CV.LB_TO_KG + STD_CARGO_KG
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning, steering_angle_deadzone_deg)
elif candidate in (CAR.RAV4, CAR.RAV4H):
stop_and_go = True if (candidate in CAR.RAV4H) else False
@ -190,10 +188,6 @@ class CarInterface(CarInterfaceBase):
ret.centerToFront = ret.wheelbase * 0.44
# TODO: get actual value, for now starting with reasonable value for
# civic and scaling by mass and wheelbase
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
# TODO: start from empirically derived lateral slip stiffness for the civic and scale by
# mass and CG position, so all cars will have approximately similar dyn behaviors
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
@ -247,16 +241,19 @@ class CarInterface(CarInterfaceBase):
# events
events = self.create_common_events(ret)
if self.CS.low_speed_lockout and self.CP.openpilotLongitudinalControl:
events.add(EventName.lowSpeedLockout)
if ret.vEgo < self.CP.minEnableSpeed and self.CP.openpilotLongitudinalControl:
events.add(EventName.belowEngageSpeed)
if c.actuators.accel > 0.3:
# some margin on the actuator to not false trigger cancellation while stopping
events.add(EventName.speedTooLow)
if ret.vEgo < 0.001:
# while in standstill, send a user alert
events.add(EventName.manualRestart)
if self.CP.openpilotLongitudinalControl:
if ret.cruiseState.standstill and not ret.brakePressed and not self.CP.enableGasInterceptor:
events.add(EventName.resumeRequired)
if self.CS.low_speed_lockout:
events.add(EventName.lowSpeedLockout)
if ret.vEgo < self.CP.minEnableSpeed:
events.add(EventName.belowEngageSpeed)
if c.actuators.accel > 0.3:
# some margin on the actuator to not false trigger cancellation while stopping
events.add(EventName.speedTooLow)
if ret.vEgo < 0.001:
# while in standstill, send a user alert
events.add(EventName.manualRestart)
ret.events = events.to_msg()

@ -113,7 +113,7 @@ CAR_INFO: Dict[str, Union[ToyotaCarInfo, List[ToyotaCarInfo]]] = {
CAR.CAMRY: ToyotaCarInfo("Toyota Camry 2018-20", video_link="https://www.youtube.com/watch?v=fkcjviZY9CM", footnotes=[Footnote.CAMRY]),
CAR.CAMRYH: ToyotaCarInfo("Toyota Camry Hybrid 2018-20", video_link="https://www.youtube.com/watch?v=Q2DYY0AWKgk"),
CAR.CAMRY_TSS2: ToyotaCarInfo("Toyota Camry 2021-22", footnotes=[Footnote.CAMRY]),
CAR.CAMRYH_TSS2: ToyotaCarInfo("Toyota Camry Hybrid 2021-22"),
CAR.CAMRYH_TSS2: ToyotaCarInfo("Toyota Camry Hybrid 2021-23"),
CAR.CHR: ToyotaCarInfo("Toyota C-HR 2017-21"),
CAR.CHRH: ToyotaCarInfo("Toyota C-HR Hybrid 2017-19"),
CAR.COROLLA: ToyotaCarInfo("Toyota Corolla 2017-19"),
@ -209,16 +209,19 @@ FW_QUERY_CONFIG = FwQueryConfig(
Request(
[StdQueries.SHORT_TESTER_PRESENT_REQUEST, TOYOTA_VERSION_REQUEST],
[StdQueries.SHORT_TESTER_PRESENT_RESPONSE, TOYOTA_VERSION_RESPONSE],
whitelist_ecus=[Ecu.fwdCamera, Ecu.fwdRadar, Ecu.dsu, Ecu.abs, Ecu.eps],
bus=0,
),
Request(
[StdQueries.SHORT_TESTER_PRESENT_REQUEST, StdQueries.OBD_VERSION_REQUEST],
[StdQueries.SHORT_TESTER_PRESENT_RESPONSE, StdQueries.OBD_VERSION_RESPONSE],
whitelist_ecus=[Ecu.engine],
bus=0,
),
Request(
[StdQueries.TESTER_PRESENT_REQUEST, StdQueries.DEFAULT_DIAGNOSTIC_REQUEST, StdQueries.EXTENDED_DIAGNOSTIC_REQUEST, StdQueries.UDS_VERSION_REQUEST],
[StdQueries.TESTER_PRESENT_RESPONSE, StdQueries.DEFAULT_DIAGNOSTIC_RESPONSE, StdQueries.EXTENDED_DIAGNOSTIC_RESPONSE, StdQueries.UDS_VERSION_RESPONSE],
whitelist_ecus=[Ecu.engine, Ecu.fwdRadar, Ecu.fwdCamera, Ecu.abs, Ecu.eps],
bus=0,
),
],
@ -548,10 +551,12 @@ FW_VERSIONS = {
(Ecu.abs, 0x7b0, None): [
b'F152633D00\x00\x00\x00\x00\x00\x00',
b'F152633D60\x00\x00\x00\x00\x00\x00',
b'F152633310\x00\x00\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
b'\x018966306Q6000\x00\x00\x00\x00',
b'\x018966306Q7000\x00\x00\x00\x00',
b'\x018966306V1000\x00\x00\x00\x00',
b'\x01896633T20000\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 15): [
@ -562,6 +567,7 @@ FW_VERSIONS = {
b'\x028646F3305200\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
b'\x028646F3305300\x00\x00\x00\x008646G5301200\x00\x00\x00\x00',
b'\x028646F3305300\x00\x00\x00\x008646G3304000\x00\x00\x00\x00',
b'\x028646F3305500\x00\x00\x00\x008646G3304000\x00\x00\x00\x00',
],
},
CAR.CHR: {
@ -742,6 +748,7 @@ FW_VERSIONS = {
b'\x018966312S7000\x00\x00\x00\x00',
b'\x018966312W3000\x00\x00\x00\x00',
b'\x018966312W9000\x00\x00\x00\x00',
b'\x01896637644000\x00\x00\x00\x00',
],
(Ecu.engine, 0x7e0, None): [
b'\x0230A10000\x00\x00\x00\x00\x00\x00\x00\x00A0202000\x00\x00\x00\x00\x00\x00\x00\x00',
@ -769,6 +776,7 @@ FW_VERSIONS = {
b'\x018965B1255000\x00\x00\x00\x00',
b'8965B12361\x00\x00\x00\x00\x00\x00',
b'8965B16011\x00\x00\x00\x00\x00\x00',
b'8965B76012\x00\x00\x00\x00\x00\x00',
b'\x018965B12510\x00\x00\x00\x00\x00\x00',
b'\x018965B1256000\x00\x00\x00\x00',
],
@ -794,6 +802,7 @@ FW_VERSIONS = {
b'\x01F152612862\x00\x00\x00\x00\x00\x00',
b'\x01F152612B91\x00\x00\x00\x00\x00\x00',
b'\x01F15260A070\x00\x00\x00\x00\x00\x00',
b'\x01F152676250\x00\x00\x00\x00\x00\x00',
],
(Ecu.fwdRadar, 0x750, 0xf): [
b'\x018821F3301100\x00\x00\x00\x00',
@ -821,6 +830,7 @@ FW_VERSIONS = {
b'\x01896637621000\x00\x00\x00\x00',
b'\x01896637624000\x00\x00\x00\x00',
b'\x01896637626000\x00\x00\x00\x00',
b'\x01896637639000\x00\x00\x00\x00',
b'\x01896637648000\x00\x00\x00\x00',
b'\x01896637643000\x00\x00\x00\x00',
b'\x02896630A07000\x00\x00\x00\x008966A4703000\x00\x00\x00\x00',
@ -1014,6 +1024,7 @@ FW_VERSIONS = {
b'\x01F15264873500\x00\x00\x00\x00',
b'\x01F152648C6300\x00\x00\x00\x00',
b'\x01F152648J4000\x00\x00\x00\x00',
b'\x01F152648J5000\x00\x00\x00\x00',
b'\x01F152648J6000\x00\x00\x00\x00',
],
(Ecu.engine, 0x700, None): [
@ -1021,6 +1032,7 @@ FW_VERSIONS = {
b'\x01896630EA1000\x00\x00\x00\x00',
b'\x01896630EE4000\x00\x00\x00\x00',
b'\x01896630EE4100\x00\x00\x00\x00',
b'\x01896630EE5000\x00\x00\x00\x00',
b'\x01896630EE6000\x00\x00\x00\x00',
b'\x02896630E66000\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
b'\x02896630E66100\x00\x00\x00\x00897CF4801001\x00\x00\x00\x00',
@ -1320,6 +1332,7 @@ FW_VERSIONS = {
b'\x01F15260R302\x00\x00\x00\x00\x00\x00',
b'\x01F152642551\x00\x00\x00\x00\x00\x00',
b'\x01F152642561\x00\x00\x00\x00\x00\x00',
b'\x01F152642601\x00\x00\x00\x00\x00\x00',
b'\x01F152642700\x00\x00\x00\x00\x00\x00',
b'\x01F152642701\x00\x00\x00\x00\x00\x00',
b'\x01F152642710\x00\x00\x00\x00\x00\x00',

@ -62,7 +62,9 @@ class CarState(CarStateBase):
ret.gas = pt_cp.vl["Motor_20"]["MO_Fahrpedalrohwert_01"] / 100.0
ret.gasPressed = ret.gas > 0
ret.brake = pt_cp.vl["ESP_05"]["ESP_Bremsdruck"] / 250.0 # FIXME: this is pressure in Bar, not sure what OP expects
ret.brakePressed = bool(pt_cp.vl["ESP_05"]["ESP_Fahrer_bremst"])
brake_pedal_pressed = bool(pt_cp.vl["Motor_14"]["MO_Fahrer_bremst"])
brake_pressure_detected = bool(pt_cp.vl["ESP_05"]["ESP_Fahrer_bremst"])
ret.brakePressed = brake_pedal_pressed or brake_pressure_detected
ret.parkingBrake = bool(pt_cp.vl["Kombi_01"]["KBI_Handbremse"]) # FIXME: need to include an EPB check as well
# Update gear and/or clutch position data.
@ -218,12 +220,13 @@ class CarState(CarStateBase):
ret.stockAeb = False
# Update ACC radar status.
self.acc_type = 0 # TODO: this is ACC "basic" with nonzero min speed, support FtS (1) later
self.acc_type = ext_cp.vl["ACC_System"]["ACS_Typ_ACC"]
ret.cruiseState.available = bool(pt_cp.vl["Motor_5"]["GRA_Hauptschalter"])
ret.cruiseState.enabled = bool(pt_cp.vl["Motor_2"]["GRA_Status"])
ret.cruiseState.enabled = pt_cp.vl["Motor_2"]["GRA_Status"] in (1, 2)
if self.CP.pcmCruise:
ret.accFaulted = ext_cp.vl["ACC_GRA_Anziege"]["ACA_StaACC"] in (6, 7)
# TODO: update opendbc with PQ TSK state for OP long accFaulted
else:
ret.accFaulted = pt_cp.vl["Motor_2"]["GRA_Status"] == 3
# Update ACC setpoint. When the setpoint reads as 255, the driver has not
# yet established an ACC setpoint, so treat it as zero.
@ -268,8 +271,9 @@ class CarState(CarStateBase):
("Comfort_Signal_Right", "Blinkmodi_02"), # Right turn signal including comfort blink interval
("AB_Gurtschloss_FA", "Airbag_02"), # Seatbelt status, driver
("AB_Gurtschloss_BF", "Airbag_02"), # Seatbelt status, passenger
("ESP_Fahrer_bremst", "ESP_05"), # Brake pedal pressed
("ESP_Bremsdruck", "ESP_05"), # Brake pressure applied
("ESP_Fahrer_bremst", "ESP_05"), # Driver applied brake pressure over threshold
("MO_Fahrer_bremst", "Motor_14"), # Brake pedal switch
("ESP_Bremsdruck", "ESP_05"), # Brake pressure
("MO_Fahrpedalrohwert_01", "Motor_20"), # Accelerator pedal value
("EPS_Lenkmoment", "LH_EPS_03"), # Absolute driver torque input
("EPS_VZ_Lenkmoment", "LH_EPS_03"), # Driver torque input sign
@ -304,6 +308,7 @@ class CarState(CarStateBase):
("ESP_02", 50), # From J104 ABS/ESP controller
("GRA_ACC_01", 33), # From J533 CAN gateway (via LIN from steering wheel controls)
("Gateway_72", 10), # From J533 CAN gateway (aggregated data)
("Motor_14", 10), # From J623 Engine control module
("Airbag_02", 5), # From J234 Airbag control module
("Kombi_01", 2), # From J285 Instrument cluster
("Blinkmodi_02", 1), # From J519 BCM (sent at 1Hz when no lights active, 50Hz when active)
@ -318,7 +323,6 @@ class CarState(CarStateBase):
elif CP.transmissionType == TransmissionType.manual:
signals += [("MO_Kuppl_schalter", "Motor_14"), # Clutch switch
("BCM1_Rueckfahrlicht_Schalter", "Gateway_72")] # Reverse light from BCM
checks.append(("Motor_14", 10)) # From J623 Engine control module
if CP.networkLocation == NetworkLocation.fwdCamera:
# Radars are here on CANBUS.pt
@ -482,15 +486,15 @@ class MqbExtraSignals:
# Additional signal and message lists for optional or bus-portable controllers
fwd_radar_signals = [
("ACC_Wunschgeschw_02", "ACC_02"), # ACC set speed
("ACC_Typ", "ACC_06"), # Basic vs F2S vs SNG
("ACC_Typ", "ACC_06"), # Basic vs FtS vs SnG
("AWV2_Freigabe", "ACC_10"), # FCW brake jerk release
("ANB_Teilbremsung_Freigabe", "ACC_10"), # AEB partial braking release
("ANB_Zielbremsung_Freigabe", "ACC_10"), # AEB target braking release
]
fwd_radar_checks = [
("ACC_06", 50), # From J428 ACC radar control module
("ACC_10", 50), # From J428 ACC radar control module
("ACC_02", 17), # From J428 ACC radar control module
("ACC_06", 50), # From J428 ACC radar control module
("ACC_10", 50), # From J428 ACC radar control module
("ACC_02", 17), # From J428 ACC radar control module
]
bsm_radar_signals = [
("SWA_Infostufe_SWA_li", "SWA_01"), # Blind spot object info, left
@ -499,24 +503,26 @@ class MqbExtraSignals:
("SWA_Warnung_SWA_re", "SWA_01"), # Blind spot object warning, right
]
bsm_radar_checks = [
("SWA_01", 20), # From J1086 Lane Change Assist
("SWA_01", 20), # From J1086 Lane Change Assist
]
class PqExtraSignals:
# Additional signal and message lists for optional or bus-portable controllers
fwd_radar_signals = [
("ACA_StaACC", "ACC_GRA_Anziege", 0), # ACC drivetrain coordinator status
("ACA_V_Wunsch", "ACC_GRA_Anziege", 0), # ACC set speed
("ACS_Typ_ACC", "ACC_System"), # Basic vs FtS (no SnG support on PQ)
("ACA_StaACC", "ACC_GRA_Anziege"), # ACC drivetrain coordinator status
("ACA_V_Wunsch", "ACC_GRA_Anziege"), # ACC set speed
]
fwd_radar_checks = [
("ACC_GRA_Anziege", 25), # From J428 ACC radar control module
("ACC_System", 50), # From J428 ACC radar control module
("ACC_GRA_Anziege", 25), # From J428 ACC radar control module
]
bsm_radar_signals = [
("SWA_Infostufe_SWA_li", "SWA_1", 0), # Blind spot object info, left
("SWA_Warnung_SWA_li", "SWA_1", 0), # Blind spot object warning, left
("SWA_Infostufe_SWA_re", "SWA_1", 0), # Blind spot object info, right
("SWA_Warnung_SWA_re", "SWA_1", 0), # Blind spot object warning, right
("SWA_Infostufe_SWA_li", "SWA_1"), # Blind spot object info, left
("SWA_Warnung_SWA_li", "SWA_1"), # Blind spot object warning, left
("SWA_Infostufe_SWA_re", "SWA_1"), # Blind spot object info, right
("SWA_Warnung_SWA_re", "SWA_1"), # Blind spot object warning, right
]
bsm_radar_checks = [
("SWA_1", 20), # From J1086 Lane Change Assist
("SWA_1", 20), # From J1086 Lane Change Assist
]

@ -1,8 +1,7 @@
from cereal import car
from panda import Panda
from common.conversions import Conversions as CV
from selfdrive.car import STD_CARGO_KG, scale_rot_inertia, scale_tire_stiffness, \
gen_empty_fingerprint, get_safety_config
from selfdrive.car import STD_CARGO_KG, get_safety_config
from selfdrive.car.interfaces import CarInterfaceBase
from selfdrive.car.volkswagen.values import CAR, PQ_CARS, CANBUS, NetworkLocation, TransmissionType, GearShifter
@ -22,8 +21,7 @@ class CarInterface(CarInterfaceBase):
self.cp_ext = self.cp_cam
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None, experimental_long=False):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
def _get_params(ret, candidate, fingerprint, car_fw, experimental_long):
ret.carName = "volkswagen"
ret.radarOffCan = True
@ -74,7 +72,6 @@ class CarInterface(CarInterfaceBase):
ret.steerActuatorDelay = 0.1
ret.steerLimitTimer = 0.4
ret.steerRatio = 15.6 # Let the params learner figure this out
tire_stiffness_factor = 1.0 # Let the params learner figure this out
ret.lateralTuning.pid.kpBP = [0.]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kf = 0.00006
@ -137,7 +134,6 @@ class CarInterface(CarInterfaceBase):
elif candidate == CAR.SHARAN_MK2:
ret.mass = 1639 + STD_CARGO_KG
ret.wheelbase = 2.92
ret.minEnableSpeed = 30 * CV.KPH_TO_MS
ret.minSteerSpeed = 50 * CV.KPH_TO_MS
ret.steerActuatorDelay = 0.2
@ -214,10 +210,7 @@ class CarInterface(CarInterfaceBase):
raise ValueError(f"unsupported car {candidate}")
ret.autoResumeSng = ret.minEnableSpeed == -1
ret.rotationalInertia = scale_rot_inertia(ret.mass, ret.wheelbase)
ret.centerToFront = ret.wheelbase * 0.45
ret.tireStiffnessFront, ret.tireStiffnessRear = scale_tire_stiffness(ret.mass, ret.wheelbase, ret.centerToFront,
tire_stiffness_factor=tire_stiffness_factor)
return ret
# returns a car.CarState
@ -237,7 +230,7 @@ class CarInterface(CarInterfaceBase):
events.add(EventName.belowSteerSpeed)
if self.CS.CP.openpilotLongitudinalControl:
if ret.vEgo < self.CP.minEnableSpeed + 2.:
if ret.vEgo < self.CP.minEnableSpeed + 0.5:
events.add(EventName.belowEngageSpeed)
if c.enabled and ret.vEgo < self.CP.minEnableSpeed:
events.add(EventName.speedTooLow)

@ -66,6 +66,7 @@ def create_acc_accel_control(packer, bus, acc_type, enabled, accel, acc_control,
"ACS_Sta_ADR": acc_control,
"ACS_StSt_Info": acc_control != 1,
"ACS_Typ_ACC": acc_type,
"ACS_Anhaltewunsch": acc_type == 1 and stopping,
"ACS_Sollbeschl": accel if acc_control == 1 else 3.01,
"ACS_zul_Regelabw": 0.2 if acc_control == 1 else 1.27,
"ACS_max_AendGrad": 3.0 if acc_control == 1 else 5.08,

@ -1,5 +1,5 @@
from collections import defaultdict, namedtuple
from dataclasses import dataclass, field
from dataclasses import dataclass
from enum import Enum
from typing import Dict, List, Union
@ -165,7 +165,9 @@ class Footnote(Enum):
class VWCarInfo(CarInfo):
package: str = "Adaptive Cruise Control (ACC) & Lane Assist"
harness: Enum = Harness.j533
footnotes: List[Enum] = field(default_factory=lambda: [Footnote.VW_EXP_LONG])
def init_make(self, CP: car.CarParams):
self.footnotes.insert(0, Footnote.VW_EXP_LONG)
CAR_INFO: Dict[str, Union[VWCarInfo, List[VWCarInfo]]] = {
@ -197,28 +199,28 @@ CAR_INFO: Dict[str, Union[VWCarInfo, List[VWCarInfo]]] = {
VWCarInfo("Volkswagen Jetta GLI 2021-22"),
],
CAR.PASSAT_MK8: [
VWCarInfo("Volkswagen Passat 2015-22", footnotes=[Footnote.VW_EXP_LONG, Footnote.PASSAT]),
VWCarInfo("Volkswagen Passat 2015-22", footnotes=[Footnote.PASSAT]),
VWCarInfo("Volkswagen Passat Alltrack 2015-22"),
VWCarInfo("Volkswagen Passat GTE 2015-22"),
],
CAR.PASSAT_NMS: VWCarInfo("Volkswagen Passat NMS 2017-22"),
CAR.POLO_MK6: [
VWCarInfo("Volkswagen Polo 2020-22", footnotes=[Footnote.VW_EXP_LONG, Footnote.VW_MQB_A0]),
VWCarInfo("Volkswagen Polo GTI 2020-22", footnotes=[Footnote.VW_EXP_LONG, Footnote.VW_MQB_A0]),
VWCarInfo("Volkswagen Polo 2020-22", footnotes=[Footnote.VW_MQB_A0]),
VWCarInfo("Volkswagen Polo GTI 2020-22", footnotes=[Footnote.VW_MQB_A0]),
],
CAR.SHARAN_MK2: [
VWCarInfo("Volkswagen Sharan 2018-22"),
VWCarInfo("SEAT Alhambra 2018-20"),
],
CAR.TAOS_MK1: VWCarInfo("Volkswagen Taos 2022"),
CAR.TCROSS_MK1: VWCarInfo("Volkswagen T-Cross 2021", footnotes=[Footnote.VW_EXP_LONG, Footnote.VW_MQB_A0]),
CAR.TCROSS_MK1: VWCarInfo("Volkswagen T-Cross 2021", footnotes=[Footnote.VW_MQB_A0]),
CAR.TIGUAN_MK2: VWCarInfo("Volkswagen Tiguan 2019-22"),
CAR.TOURAN_MK2: VWCarInfo("Volkswagen Touran 2017"),
CAR.TRANSPORTER_T61: [
VWCarInfo("Volkswagen Caravelle 2020"),
VWCarInfo("Volkswagen California 2021"),
],
CAR.TROC_MK1: VWCarInfo("Volkswagen T-Roc 2021", footnotes=[Footnote.VW_EXP_LONG, Footnote.VW_MQB_A0]),
CAR.TROC_MK1: VWCarInfo("Volkswagen T-Roc 2021", footnotes=[Footnote.VW_MQB_A0]),
CAR.AUDI_A3_MK3: [
VWCarInfo("Audi A3 2014-19"),
VWCarInfo("Audi A3 Sportback e-tron 2017-18"),
@ -229,11 +231,11 @@ CAR_INFO: Dict[str, Union[VWCarInfo, List[VWCarInfo]]] = {
CAR.AUDI_Q3_MK2: VWCarInfo("Audi Q3 2019-23"),
CAR.SEAT_ATECA_MK1: VWCarInfo("SEAT Ateca 2018"),
CAR.SEAT_LEON_MK3: VWCarInfo("SEAT Leon 2014-20"),
CAR.SKODA_KAMIQ_MK1: VWCarInfo("Škoda Kamiq 2021", footnotes=[Footnote.VW_EXP_LONG, Footnote.VW_MQB_A0, Footnote.KAMIQ]),
CAR.SKODA_KAMIQ_MK1: VWCarInfo("Škoda Kamiq 2021", footnotes=[Footnote.VW_MQB_A0, Footnote.KAMIQ]),
CAR.SKODA_KAROQ_MK1: VWCarInfo("Škoda Karoq 2019-21"),
CAR.SKODA_KODIAQ_MK1: VWCarInfo("Škoda Kodiaq 2018-19"),
CAR.SKODA_SCALA_MK1: VWCarInfo("Škoda Scala 2020", footnotes=[Footnote.VW_EXP_LONG, Footnote.VW_MQB_A0]),
CAR.SKODA_SUPERB_MK3: VWCarInfo("Škoda Superb 2015-18"),
CAR.SKODA_SCALA_MK1: VWCarInfo("Škoda Scala 2020", footnotes=[Footnote.VW_MQB_A0]),
CAR.SKODA_SUPERB_MK3: VWCarInfo("Škoda Superb 2015-22"),
CAR.SKODA_OCTAVIA_MK3: [
VWCarInfo("Škoda Octavia 2015, 2018-19"),
VWCarInfo("Škoda Octavia RS 2016"),
@ -278,12 +280,14 @@ FW_VERSIONS = {
CAR.ARTEON_MK1: {
(Ecu.engine, 0x7e0, None): [
b'\xf1\x873G0906259F \xf1\x890004',
b'\xf1\x873G0906259N \xf1\x890004',
b'\xf1\x873G0906259P \xf1\x890001',
b'\xf1\x875NA907115H \xf1\x890002',
],
(Ecu.transmission, 0x7e1, None): [
b'\xf1\x8709G927158L \xf1\x893611',
b'\xf1\x870GC300011L \xf1\x891401',
b'\xf1\x870GC300014M \xf1\x892802',
b'\xf1\x870GC300040P \xf1\x891401',
],
(Ecu.srs, 0x715, None): [
@ -295,8 +299,10 @@ FW_VERSIONS = {
b'\xf1\x873Q0909144K \xf1\x895072\xf1\x82\x0571B41815A1',
b'\xf1\x873Q0909144L \xf1\x895081\xf1\x82\x0571B00817A1',
b'\xf1\x875Q0910143C \xf1\x892211\xf1\x82\00567B0020800',
b'\xf1\x875WA907145M \xf1\x891051\xf1\x82\x002MB4092M7N',
],
(Ecu.fwdRadar, 0x757, None): [
b'\xf1\x872Q0907572AA\xf1\x890396',
b'\xf1\x872Q0907572T \xf1\x890383',
b'\xf1\x875Q0907572J \xf1\x890654',
],
@ -314,11 +320,13 @@ FW_VERSIONS = {
b'\xf1\x8703H906026J \xf1\x899971',
b'\xf1\x8703H906026S \xf1\x896693',
b'\xf1\x8703H906026S \xf1\x899970',
b'\xf1\x873CN906259 \xf1\x890005',
],
(Ecu.transmission, 0x7e1, None): [
b'\xf1\x8709G927158A \xf1\x893387',
b'\xf1\x8709G927158DR\xf1\x893536',
b'\xf1\x8709G927158DR\xf1\x893742',
b'\xf1\x8709G927158F \xf1\x893489',
b'\xf1\x8709G927158FT\xf1\x893835',
b'\xf1\x8709G927158GL\xf1\x893939',
],
@ -332,6 +340,7 @@ FW_VERSIONS = {
(Ecu.eps, 0x712, None): [
b'\xf1\x873QF909144B \xf1\x891582\xf1\x82\00571B60924A1',
b'\xf1\x873QF909144B \xf1\x891582\xf1\x82\x0571B6G920A1',
b'\xf1\x875Q0909143P \xf1\x892051\xf1\x820528B6080105',
b'\xf1\x875Q0909143P \xf1\x892051\xf1\x820528B6090105',
],
(Ecu.fwdRadar, 0x757, None): [
@ -371,6 +380,7 @@ FW_VERSIONS = {
b'\xf1\x870EA906016Q \xf1\x895993',
b'\xf1\x870EA906016S \xf1\x897207',
b'\xf1\x875G0906259 \xf1\x890007',
b'\xf1\x875G0906259D \xf1\x890002',
b'\xf1\x875G0906259J \xf1\x890002',
b'\xf1\x875G0906259L \xf1\x890002',
b'\xf1\x875G0906259N \xf1\x890003',
@ -406,6 +416,7 @@ FW_VERSIONS = {
b'\xf1\x870D9300012 \xf1\x895045',
b'\xf1\x870D9300014M \xf1\x895004',
b'\xf1\x870D9300014Q \xf1\x895006',
b'\xf1\x870D9300020J \xf1\x894902',
b'\xf1\x870D9300020Q \xf1\x895201',
b'\xf1\x870D9300020S \xf1\x895201',
b'\xf1\x870D9300040A \xf1\x893613',
@ -453,6 +464,7 @@ FW_VERSIONS = {
b'\xf1\x873Q0909144F \xf1\x895043\xf1\x82\x0561A01612A0',
b'\xf1\x873Q0909144H \xf1\x895061\xf1\x82\x0566A0J612A1',
b'\xf1\x873Q0909144J \xf1\x895063\xf1\x82\x0566A00514A1',
b'\xf1\x873Q0909144J \xf1\x895063\xf1\x82\x0566A01613A1',
b'\xf1\x873Q0909144J \xf1\x895063\xf1\x82\x0566A0J712A1',
b'\xf1\x873Q0909144K \xf1\x895072\xf1\x82\x0571A0J714A1',
b'\xf1\x873Q0909144L \xf1\x895081\xf1\x82\x0571A0JA15A1',
@ -1064,6 +1076,7 @@ FW_VERSIONS = {
},
CAR.SKODA_SUPERB_MK3: {
(Ecu.engine, 0x7e0, None): [
b'\xf1\x8704L906026ET\xf1\x891343',
b'\xf1\x8704L906026FP\xf1\x891196',
b'\xf1\x8704L906026KB\xf1\x894071',
b'\xf1\x8704L906026KD\xf1\x894798',
@ -1074,9 +1087,11 @@ FW_VERSIONS = {
b'\xf1\x870CW300042H \xf1\x891601',
b'\xf1\x870D9300011T \xf1\x894801',
b'\xf1\x870D9300012 \xf1\x894940',
b'\xf1\x870D9300041H \xf1\x894905',
b'\xf1\x870GC300043 \xf1\x892301',
],
(Ecu.srs, 0x715, None): [
b'\xf1\x875Q0959655AE\xf1\x890130\xf1\x82\x12111200111121001121110012211292221111',
b'\xf1\x875Q0959655AE\xf1\x890130\xf1\x82\022111200111121001121118112231292221111',
b'\xf1\x875Q0959655AK\xf1\x890130\xf1\x82\022111200111121001121110012211292221111',
b'\xf1\x875Q0959655BH\xf1\x890336\xf1\x82\02331310031313100313131013141319331413100',

@ -12,12 +12,11 @@ import cereal.messaging as messaging
from common.conversions import Conversions as CV
from panda import ALTERNATIVE_EXPERIENCE
from system.swaglog import cloudlog
from system.version import is_tested_branch, get_short_branch
from system.version import is_release_branch, get_short_branch
from selfdrive.boardd.boardd import can_list_to_can_capnp
from selfdrive.car.car_helpers import get_car, get_startup_event, get_one_can
from selfdrive.controls.lib.lateral_planner import CAMERA_OFFSET
from selfdrive.controls.lib.drive_helpers import V_CRUISE_INITIAL, update_v_cruise, initialize_v_cruise
from selfdrive.controls.lib.drive_helpers import get_lag_adjusted_curvature
from selfdrive.controls.lib.drive_helpers import VCruiseHelper, get_lag_adjusted_curvature
from selfdrive.controls.lib.latcontrol import LatControl
from selfdrive.controls.lib.longcontrol import LongControl
from selfdrive.controls.lib.latcontrol_pid import LatControlPID
@ -49,7 +48,6 @@ Desire = log.LateralPlan.Desire
LaneChangeState = log.LateralPlan.LaneChangeState
LaneChangeDirection = log.LateralPlan.LaneChangeDirection
EventName = car.CarEvent.EventName
ButtonEvent = car.CarState.ButtonEvent
ButtonType = car.CarState.ButtonEvent.Type
SafetyModel = car.CarParams.SafetyModel
@ -134,7 +132,7 @@ class Controls:
safety_config.safetyModel = car.CarParams.SafetyModel.noOutput
self.CP.safetyConfigs = [safety_config]
if is_tested_branch():
if is_release_branch():
self.CP.experimentalLongitudinalAvailable = False
# Write CarParams for radard
@ -173,9 +171,6 @@ class Controls:
self.active = False
self.can_rcv_timeout = False
self.soft_disable_timer = 0
self.v_cruise_kph = V_CRUISE_INITIAL
self.v_cruise_cluster_kph = V_CRUISE_INITIAL
self.v_cruise_kph_last = 0
self.mismatch_counter = 0
self.cruise_mismatch_counter = 0
self.can_rcv_timeout_counter = 0
@ -185,11 +180,11 @@ class Controls:
self.events_prev = []
self.current_alert_types = [ET.PERMANENT]
self.logged_comm_issue = None
self.button_timers = {ButtonEvent.Type.decelCruise: 0, ButtonEvent.Type.accelCruise: 0}
self.last_actuators = car.CarControl.Actuators.new_message()
self.steer_limited = False
self.desired_curvature = 0.0
self.desired_curvature_rate = 0.0
self.v_cruise_helper = VCruiseHelper(self.CP)
# TODO: no longer necessary, aside from process replay
self.sm['liveParameters'].valid = True
@ -219,7 +214,7 @@ class Controls:
controls_state = Params().get("ReplayControlsState")
if controls_state is not None:
controls_state = log.ControlsState.from_bytes(controls_state)
self.v_cruise_kph = controls_state.vCruise
self.v_cruise_helper.v_cruise_kph = controls_state.vCruise
if any(ps.controlsAllowed for ps in self.sm['pandaStates']):
self.state = State.enabled
@ -245,7 +240,7 @@ class Controls:
# Block resume if cruise never previously enabled
resume_pressed = any(be.type in (ButtonType.accelCruise, ButtonType.resumeCruise) for be in CS.buttonEvents)
if not self.CP.pcmCruise and self.v_cruise_kph == V_CRUISE_INITIAL and resume_pressed:
if not self.CP.pcmCruise and not self.v_cruise_helper.v_cruise_initialized and resume_pressed:
self.events.add(EventName.resumeBlocked)
# Disable on rising edge of accelerator or brake. Also disable on brake when speed > 0
@ -254,6 +249,9 @@ class Controls:
(CS.regenBraking and (not self.CS_prev.regenBraking or not CS.standstill)):
self.events.add(EventName.pedalPressed)
if CS.brakePressed and CS.standstill:
self.events.add(EventName.preEnableStandstill)
if CS.gasPressed:
self.events.add(EventName.gasPressedOverride)
@ -280,7 +278,7 @@ class Controls:
# self.events.add(EventName.highCpuUsage)
# Alert if fan isn't spinning for 5 seconds
if self.sm['peripheralState'].pandaType == PandaType.dos:
if self.sm['peripheralState'].pandaType != log.PandaState.PandaType.unknown:
if self.sm['peripheralState'].fanSpeedRpm == 0 and self.sm['deviceState'].fanSpeedPercentDesired > 50:
if (self.sm.frame - self.last_functional_fan_frame) * DT_CTRL > 5.0:
self.events.add(EventName.fanMalfunction)
@ -422,16 +420,6 @@ class Controls:
if self.sm['liveLocationKalman'].excessiveResets:
self.events.add(EventName.localizerMalfunction)
# Only allow engagement with brake pressed when stopped behind another stopped car
speeds = self.sm['longitudinalPlan'].speeds
if len(speeds) > 1:
v_future = speeds[-1]
else:
v_future = 100.0
if CS.brakePressed and v_future >= self.CP.vEgoStarting \
and self.CP.openpilotLongitudinalControl and CS.vEgo < 0.3:
self.events.add(EventName.noTarget)
def data_sample(self):
"""Receive data from sockets and update carState"""
@ -478,20 +466,7 @@ class Controls:
def state_transition(self, CS):
"""Compute conditional state transitions and execute actions on state transitions"""
self.v_cruise_kph_last = self.v_cruise_kph
if CS.cruiseState.available:
# if stock cruise is completely disabled, then we can use our own set speed logic
if not self.CP.pcmCruise:
self.v_cruise_kph = update_v_cruise(self.v_cruise_kph, CS.vEgo, CS.gasPressed, CS.buttonEvents,
self.button_timers, self.enabled, self.is_metric)
self.v_cruise_cluster_kph = self.v_cruise_kph
else:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
self.v_cruise_cluster_kph = CS.cruiseState.speedCluster * CV.MS_TO_KPH
else:
self.v_cruise_kph = V_CRUISE_INITIAL
self.v_cruise_cluster_kph = V_CRUISE_INITIAL
self.v_cruise_helper.update_v_cruise(CS, self.enabled, self.is_metric)
# decrement the soft disable timer at every step, as it's reset on
# entrance in SOFT_DISABLING state
@ -536,10 +511,7 @@ class Controls:
# PRE ENABLING
elif self.state == State.preEnabled:
if self.events.any(ET.NO_ENTRY):
self.state = State.disabled
self.current_alert_types.append(ET.NO_ENTRY)
elif not self.events.any(ET.PRE_ENABLE):
if not self.events.any(ET.PRE_ENABLE):
self.state = State.enabled
else:
self.current_alert_types.append(ET.PRE_ENABLE)
@ -569,9 +541,7 @@ class Controls:
else:
self.state = State.enabled
self.current_alert_types.append(ET.ENABLE)
if not self.CP.pcmCruise:
self.v_cruise_kph = initialize_v_cruise(CS.vEgo, CS.buttonEvents, self.v_cruise_kph_last)
self.v_cruise_cluster_kph = self.v_cruise_kph
self.v_cruise_helper.initialize_v_cruise(CS)
# Check if openpilot is engaged and actuators are enabled
self.enabled = self.state in ENABLED_STATES
@ -602,7 +572,7 @@ class Controls:
# Check which actuators can be enabled
CC.latActive = self.active and not CS.steerFaultTemporary and not CS.steerFaultPermanent and \
CS.vEgo > self.CP.minSteerSpeed and not CS.standstill
CC.longActive = self.active and not self.events.any(ET.OVERRIDE_LONGITUDINAL) and self.CP.openpilotLongitudinalControl
CC.longActive = self.enabled and not self.events.any(ET.OVERRIDE_LONGITUDINAL) and self.CP.openpilotLongitudinalControl
actuators = CC.actuators
actuators.longControlState = self.LoC.long_control_state
@ -619,7 +589,7 @@ class Controls:
if not self.joystick_mode:
# accel PID loop
pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, self.v_cruise_kph * CV.KPH_TO_MS)
pid_accel_limits = self.CI.get_pid_accel_limits(self.CP, CS.vEgo, self.v_cruise_helper.v_cruise_kph * CV.KPH_TO_MS)
t_since_plan = (self.sm.frame - self.sm.rcv_frame['longitudinalPlan']) * DT_CTRL
actuators.accel = self.LoC.update(CC.longActive, CS, long_plan, pid_accel_limits, t_since_plan)
@ -683,16 +653,6 @@ class Controls:
return CC, lac_log
def update_button_timers(self, buttonEvents):
# increment timer for buttons still pressed
for k in self.button_timers:
if self.button_timers[k] > 0:
self.button_timers[k] += 1
for b in buttonEvents:
if b.type.raw in self.button_timers:
self.button_timers[b.type.raw] = 1 if b.pressed else 0
def publish_logs(self, CS, start_time, CC, lac_log):
"""Send actuators and hud commands to the car, send controlsstate and MPC logging"""
@ -715,7 +675,7 @@ class Controls:
CC.cruiseControl.resume = self.enabled and CS.cruiseState.standstill and speeds[-1] > 0.1
hudControl = CC.hudControl
hudControl.setSpeed = float(self.v_cruise_cluster_kph * CV.KPH_TO_MS)
hudControl.setSpeed = float(self.v_cruise_helper.v_cruise_cluster_kph * CV.KPH_TO_MS)
hudControl.speedVisible = self.enabled
hudControl.lanesVisible = self.enabled
hudControl.leadVisible = self.sm['longitudinalPlan'].hasLead
@ -798,8 +758,8 @@ class Controls:
controlsState.engageable = not self.events.any(ET.NO_ENTRY)
controlsState.longControlState = self.LoC.long_control_state
controlsState.vPid = float(self.LoC.v_pid)
controlsState.vCruise = float(self.v_cruise_kph)
controlsState.vCruiseCluster = float(self.v_cruise_cluster_kph)
controlsState.vCruise = float(self.v_cruise_helper.v_cruise_kph)
controlsState.vCruiseCluster = float(self.v_cruise_helper.v_cruise_cluster_kph)
controlsState.upAccelCmd = float(self.LoC.pid.p)
controlsState.uiAccelCmd = float(self.LoC.pid.i)
controlsState.ufAccelCmd = float(self.LoC.pid.f)
@ -807,6 +767,7 @@ class Controls:
controlsState.startMonoTime = int(start_time * 1e9)
controlsState.forceDecel = bool(force_decel)
controlsState.canErrorCounter = self.can_rcv_timeout_counter
controlsState.experimentalMode = self.params.get_bool("ExperimentalMode") and self.CP.openpilotLongitudinalControl
lat_tuning = self.CP.lateralTuning.which()
if self.joystick_mode:
@ -880,7 +841,6 @@ class Controls:
self.publish_logs(CS, start_time, CC, lac_log)
self.prof.checkpoint("Sent")
self.update_button_timers(CS.buttonEvents)
self.CS_prev = CS
def controlsd_thread(self):
@ -889,6 +849,7 @@ class Controls:
self.rk.monitor_time()
self.prof.display()
def main(sm=None, pm=None, logcan=None):
controls = Controls(sm, pm, logcan)
controls.controlsd_thread()

@ -12,6 +12,7 @@ V_CRUISE_MAX = 145 # kph
V_CRUISE_MIN = 8 # kph
V_CRUISE_ENABLE_MIN = 40 # kph
V_CRUISE_INITIAL = 255 # kph
IMPERIAL_INCREMENT = 1.6 # should be CV.MPH_TO_KPH, but this causes rounding errors
MIN_SPEED = 1.0
LAT_MPC_N = 16
@ -22,6 +23,7 @@ CAR_ROTATION_RADIUS = 0.0
# EU guidelines
MAX_LATERAL_JERK = 5.0
ButtonEvent = car.CarState.ButtonEvent
ButtonType = car.CarState.ButtonEvent.Type
CRUISE_LONG_PRESS = 50
CRUISE_NEAREST_FUNC = {
@ -34,68 +36,127 @@ CRUISE_INTERVAL_SIGN = {
}
def apply_deadzone(error, deadzone):
if error > deadzone:
error -= deadzone
elif error < - deadzone:
error += deadzone
else:
error = 0.
return error
class VCruiseHelper:
def __init__(self, CP):
self.CP = CP
self.v_cruise_kph = V_CRUISE_INITIAL
self.v_cruise_cluster_kph = V_CRUISE_INITIAL
self.v_cruise_kph_last = 0
self.button_timers = {ButtonType.decelCruise: 0, ButtonType.accelCruise: 0}
self.button_change_states = {btn: {"standstill": False, "enabled": False} for btn in self.button_timers}
@property
def v_cruise_initialized(self):
return self.v_cruise_kph != V_CRUISE_INITIAL
def update_v_cruise(self, CS, enabled, is_metric):
self.v_cruise_kph_last = self.v_cruise_kph
if CS.cruiseState.available:
if not self.CP.pcmCruise:
# if stock cruise is completely disabled, then we can use our own set speed logic
self._update_v_cruise_non_pcm(CS, enabled, is_metric)
self.v_cruise_cluster_kph = self.v_cruise_kph
self.update_button_timers(CS, enabled)
else:
self.v_cruise_kph = CS.cruiseState.speed * CV.MS_TO_KPH
self.v_cruise_cluster_kph = CS.cruiseState.speedCluster * CV.MS_TO_KPH
else:
self.v_cruise_kph = V_CRUISE_INITIAL
self.v_cruise_cluster_kph = V_CRUISE_INITIAL
def _update_v_cruise_non_pcm(self, CS, enabled, is_metric):
# handle button presses. TODO: this should be in state_control, but a decelCruise press
# would have the effect of both enabling and changing speed is checked after the state transition
if not enabled:
return
def rate_limit(new_value, last_value, dw_step, up_step):
return clip(new_value, last_value + dw_step, last_value + up_step)
long_press = False
button_type = None
v_cruise_delta = 1. if is_metric else IMPERIAL_INCREMENT
def update_v_cruise(v_cruise_kph, v_ego, gas_pressed, buttonEvents, button_timers, enabled, metric):
# handle button presses. TODO: this should be in state_control, but a decelCruise press
# would have the effect of both enabling and changing speed is checked after the state transition
if not enabled:
return v_cruise_kph
for b in CS.buttonEvents:
if b.type.raw in self.button_timers and not b.pressed:
if self.button_timers[b.type.raw] > CRUISE_LONG_PRESS:
return # end long press
button_type = b.type.raw
break
else:
for k in self.button_timers.keys():
if self.button_timers[k] and self.button_timers[k] % CRUISE_LONG_PRESS == 0:
button_type = k
long_press = True
break
long_press = False
button_type = None
if button_type is None:
return
# should be CV.MPH_TO_KPH, but this causes rounding errors
v_cruise_delta = 1. if metric else 1.6
# Don't adjust speed when pressing resume to exit standstill
cruise_standstill = self.button_change_states[button_type]["standstill"] or CS.cruiseState.standstill
if button_type == ButtonType.accelCruise and cruise_standstill:
return
for b in buttonEvents:
if b.type.raw in button_timers and not b.pressed:
if button_timers[b.type.raw] > CRUISE_LONG_PRESS:
return v_cruise_kph # end long press
button_type = b.type.raw
break
else:
for k in button_timers.keys():
if button_timers[k] and button_timers[k] % CRUISE_LONG_PRESS == 0:
button_type = k
long_press = True
break
# Don't adjust speed if we've enabled since the button was depressed (some ports enable on rising edge)
if not self.button_change_states[button_type]["enabled"]:
return
if button_type:
v_cruise_delta = v_cruise_delta * (5 if long_press else 1)
if long_press and v_cruise_kph % v_cruise_delta != 0: # partial interval
v_cruise_kph = CRUISE_NEAREST_FUNC[button_type](v_cruise_kph / v_cruise_delta) * v_cruise_delta
if long_press and self.v_cruise_kph % v_cruise_delta != 0: # partial interval
self.v_cruise_kph = CRUISE_NEAREST_FUNC[button_type](self.v_cruise_kph / v_cruise_delta) * v_cruise_delta
else:
v_cruise_kph += v_cruise_delta * CRUISE_INTERVAL_SIGN[button_type]
self.v_cruise_kph += v_cruise_delta * CRUISE_INTERVAL_SIGN[button_type]
# If set is pressed while overriding, clip cruise speed to minimum of vEgo
if gas_pressed and button_type in (ButtonType.decelCruise, ButtonType.setCruise):
v_cruise_kph = max(v_cruise_kph, v_ego * CV.MS_TO_KPH)
if CS.gasPressed and button_type in (ButtonType.decelCruise, ButtonType.setCruise):
self.v_cruise_kph = max(self.v_cruise_kph, CS.vEgo * CV.MS_TO_KPH)
self.v_cruise_kph = clip(round(self.v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX)
v_cruise_kph = clip(round(v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX)
def update_button_timers(self, CS, enabled):
# increment timer for buttons still pressed
for k in self.button_timers:
if self.button_timers[k] > 0:
self.button_timers[k] += 1
return v_cruise_kph
for b in CS.buttonEvents:
if b.type.raw in self.button_timers:
# Start/end timer and store current state on change of button pressed
self.button_timers[b.type.raw] = 1 if b.pressed else 0
self.button_change_states[b.type.raw] = {"standstill": CS.cruiseState.standstill, "enabled": enabled}
def initialize_v_cruise(self, CS):
# initializing is handled by the PCM
if self.CP.pcmCruise:
return
def initialize_v_cruise(v_ego, buttonEvents, v_cruise_last):
for b in buttonEvents:
# 250kph or above probably means we never had a set speed
if b.type in (ButtonType.accelCruise, ButtonType.resumeCruise) and v_cruise_last < 250:
return v_cruise_last
if any(b.type in (ButtonType.accelCruise, ButtonType.resumeCruise) for b in CS.buttonEvents) and self.v_cruise_kph_last < 250:
self.v_cruise_kph = self.v_cruise_kph_last
else:
self.v_cruise_kph = int(round(clip(CS.vEgo * CV.MS_TO_KPH, V_CRUISE_ENABLE_MIN, V_CRUISE_MAX)))
self.v_cruise_cluster_kph = self.v_cruise_kph
return int(round(clip(v_ego * CV.MS_TO_KPH, V_CRUISE_ENABLE_MIN, V_CRUISE_MAX)))
def apply_deadzone(error, deadzone):
if error > deadzone:
error -= deadzone
elif error < - deadzone:
error += deadzone
else:
error = 0.
return error
def apply_center_deadzone(error, deadzone):
if (error > - deadzone) and (error < deadzone):
error = 0.
return error
def rate_limit(new_value, last_value, dw_step, up_step):
return clip(new_value, last_value + dw_step, last_value + up_step)
def get_lag_adjusted_curvature(CP, v_ego, psis, curvatures, curvature_rates):

@ -250,10 +250,9 @@ def calibration_incomplete_alert(CP: car.CarParams, CS: car.CarState, sm: messag
def no_gps_alert(CP: car.CarParams, CS: car.CarState, sm: messaging.SubMaster, metric: bool, soft_disable_time: int) -> Alert:
gps_integrated = sm['peripheralState'].pandaType in (log.PandaState.PandaType.uno, log.PandaState.PandaType.dos)
return Alert(
"Poor GPS reception",
"Hardware malfunctioning if sky is visible" if gps_integrated else "Check GPS antenna placement",
"Hardware malfunctioning if sky is visible",
AlertStatus.normal, AlertSize.mid,
Priority.LOWER, VisualAlert.none, AudibleAlert.none, .2, creation_delay=300.)
@ -502,7 +501,7 @@ EVENTS: Dict[int, Dict[str, Union[Alert, AlertCallbackType]]] = {
EventName.resumeRequired: {
ET.WARNING: Alert(
"STOPPED",
"Press Resume to Go",
"Press Resume to Exit Standstill",
AlertStatus.userPrompt, AlertSize.mid,
Priority.LOW, VisualAlert.none, AudibleAlert.none, .2),
},
@ -616,9 +615,9 @@ EVENTS: Dict[int, Dict[str, Union[Alert, AlertCallbackType]]] = {
visual_alert=VisualAlert.brakePressed),
},
EventName.pedalPressedPreEnable: {
EventName.preEnableStandstill: {
ET.PRE_ENABLE: Alert(
"Release Pedal to Engage",
"Release Brake to Engage",
"",
AlertStatus.normal, AlertSize.small,
Priority.LOWEST, VisualAlert.none, AudibleAlert.none, .1, creation_delay=1.),
@ -917,15 +916,6 @@ EVENTS: Dict[int, Dict[str, Union[Alert, AlertCallbackType]]] = {
ET.NO_ENTRY: NoEntryAlert("Harness Relay Malfunction"),
},
EventName.noTarget: {
ET.IMMEDIATE_DISABLE: Alert(
"openpilot Canceled",
"No close lead car",
AlertStatus.normal, AlertSize.mid,
Priority.HIGH, VisualAlert.none, AudibleAlert.disengage, 3.),
ET.NO_ENTRY: NoEntryAlert("No Close Lead Car"),
},
EventName.speedTooLow: {
ET.IMMEDIATE_DISABLE: Alert(
"openpilot Canceled",

@ -10,12 +10,14 @@ LongCtrlState = car.CarControl.Actuators.LongControlState
def long_control_state_trans(CP, active, long_control_state, v_ego, v_target,
v_target_1sec, brake_pressed, cruise_standstill):
# Ignore cruise standstill if car has a gas interceptor
cruise_standstill = cruise_standstill and not CP.enableGasInterceptor
accelerating = v_target_1sec > v_target
planned_stop = (v_target < CP.vEgoStopping and
v_target_1sec < CP.vEgoStopping and
not accelerating)
stay_stopped = (v_ego < CP.vEgoStopping and
(brake_pressed or cruise_standstill))
(brake_pressed or cruise_standstill))
stopping_condition = planned_stop or stay_stopped
starting_condition = (v_target_1sec > CP.vEgoStarting and

@ -352,7 +352,7 @@ class LongitudinalMpc:
x_and_cruise = np.column_stack([x, cruise_target])
x = np.min(x_and_cruise, axis=1)
self.source = 'e2e' if x_and_cruise[0,0] < x_and_cruise[0,1] else 'cruise'
self.source = 'e2e' if x_and_cruise[1,0] < x_and_cruise[1,1] else 'cruise'
else:
raise NotImplementedError(f'Planner mode {self.mode} not recognized in planner update')

@ -6,7 +6,6 @@ from common.numpy_fast import clip, interp
import cereal.messaging as messaging
from common.conversions import Conversions as CV
from common.filter_simple import FirstOrderFilter
from common.params import Params
from common.realtime import DT_MDL
from selfdrive.modeld.constants import T_IDXS
from selfdrive.controls.lib.longcontrol import LongCtrlState
@ -48,12 +47,7 @@ def limit_accel_in_turns(v_ego, angle_steers, a_target, CP):
class LongitudinalPlanner:
def __init__(self, CP, init_v=0.0, init_a=0.0):
self.CP = CP
self.params = Params()
self.param_read_counter = 0
self.mpc = LongitudinalMpc()
self.read_param()
self.fcw = False
self.a_desired = init_a
@ -65,10 +59,6 @@ class LongitudinalPlanner:
self.j_desired_trajectory = np.zeros(CONTROL_N)
self.solverExecutionTime = 0.0
def read_param(self):
e2e = self.params.get_bool('ExperimentalMode') and self.CP.openpilotLongitudinalControl
self.mpc.mode = 'blended' if e2e else 'acc'
@staticmethod
def parse_model(model_msg, model_error):
if (len(model_msg.position.x) == 33 and
@ -85,10 +75,8 @@ class LongitudinalPlanner:
j = np.zeros(len(T_IDXS_MPC))
return x, v, a, j
def update(self, sm, read=True):
if self.param_read_counter % 50 == 0 and read:
self.read_param()
self.param_read_counter += 1
def update(self, sm):
self.mpc.mode = 'blended' if sm['controlsState'].experimentalMode else 'acc'
v_ego = sm['carState'].vEgo
v_cruise_kph = sm['controlsState'].vCruise

@ -1,12 +1,18 @@
#!/usr/bin/env python3
import unittest
import numpy as np
from common.params import Params
from parameterized import parameterized_class
import unittest
from selfdrive.controls.lib.drive_helpers import VCruiseHelper, V_CRUISE_MIN, V_CRUISE_MAX, V_CRUISE_ENABLE_MIN, IMPERIAL_INCREMENT
from cereal import car
from common.conversions import Conversions as CV
from selfdrive.test.longitudinal_maneuvers.maneuver import Maneuver
def run_cruise_simulation(cruise, t_end=20.):
ButtonEvent = car.CarState.ButtonEvent
ButtonType = car.CarState.ButtonEvent.Type
def run_cruise_simulation(cruise, e2e, t_end=20.):
man = Maneuver(
'',
duration=t_end,
@ -16,24 +22,129 @@ def run_cruise_simulation(cruise, t_end=20.):
cruise_values=[cruise],
prob_lead_values=[0.0],
breakpoints=[0.],
e2e=e2e,
)
valid, output = man.evaluate()
assert valid
return output[-1,3]
return output[-1, 3]
class TestCruiseSpeed(unittest.TestCase):
def test_cruise_speed(self):
params = Params()
for e2e in [False, True]:
params.put_bool("ExperimentalMode", e2e)
for speed in np.arange(5, 40, 5):
print(f'Testing {speed} m/s')
cruise_speed = float(speed)
simulation_steady_state = run_cruise_simulation(cruise_speed)
simulation_steady_state = run_cruise_simulation(cruise_speed, e2e)
self.assertAlmostEqual(simulation_steady_state, cruise_speed, delta=.01, msg=f'Did not reach {speed} m/s')
# TODO: test pcmCruise
@parameterized_class(('pcm_cruise',), [(False,)])
class TestVCruiseHelper(unittest.TestCase):
def setUp(self):
self.CP = car.CarParams(pcmCruise=self.pcm_cruise) # pylint: disable=E1101
self.v_cruise_helper = VCruiseHelper(self.CP)
self.reset_cruise_speed_state()
def reset_cruise_speed_state(self):
# Two resets previous cruise speed
for _ in range(2):
self.v_cruise_helper.update_v_cruise(car.CarState(cruiseState={"available": False}), enabled=False, is_metric=False)
def enable(self, v_ego):
# Simulates user pressing set with a current speed
self.v_cruise_helper.initialize_v_cruise(car.CarState(vEgo=v_ego))
def test_adjust_speed(self):
"""
Asserts speed changes on falling edges of buttons.
"""
self.enable(V_CRUISE_ENABLE_MIN * CV.KPH_TO_MS)
for btn in (ButtonType.accelCruise, ButtonType.decelCruise):
for pressed in (True, False):
CS = car.CarState(cruiseState={"available": True})
CS.buttonEvents = [ButtonEvent(type=btn, pressed=pressed)]
self.v_cruise_helper.update_v_cruise(CS, enabled=True, is_metric=False)
self.assertEqual(pressed, self.v_cruise_helper.v_cruise_kph == self.v_cruise_helper.v_cruise_kph_last)
def test_rising_edge_enable(self):
"""
Some car interfaces may enable on rising edge of a button,
ensure we don't adjust speed if enabled changes mid-press.
"""
# NOTE: enabled is always one frame behind the result from button press in controlsd
for enabled, pressed in ((False, False),
(False, True),
(True, False)):
CS = car.CarState(cruiseState={"available": True})
CS.buttonEvents = [ButtonEvent(type=ButtonType.decelCruise, pressed=pressed)]
self.v_cruise_helper.update_v_cruise(CS, enabled=enabled, is_metric=False)
if pressed:
self.enable(V_CRUISE_ENABLE_MIN * CV.KPH_TO_MS)
# Expected diff on enabling. Speed should not change on falling edge of pressed
self.assertEqual(not pressed, self.v_cruise_helper.v_cruise_kph == self.v_cruise_helper.v_cruise_kph_last)
def test_resume_in_standstill(self):
"""
Asserts we don't increment set speed if user presses resume/accel to exit cruise standstill.
"""
self.enable(0)
for standstill in (True, False):
for pressed in (True, False):
CS = car.CarState(cruiseState={"available": True, "standstill": standstill})
CS.buttonEvents = [ButtonEvent(type=ButtonType.accelCruise, pressed=pressed)]
self.v_cruise_helper.update_v_cruise(CS, enabled=True, is_metric=False)
# speed should only update if not at standstill and button falling edge
should_equal = standstill or pressed
self.assertEqual(should_equal, self.v_cruise_helper.v_cruise_kph == self.v_cruise_helper.v_cruise_kph_last)
def test_set_gas_pressed(self):
"""
Asserts pressing set while enabled with gas pressed sets
the speed to the maximum of vEgo and current cruise speed.
"""
for v_ego in np.linspace(0, 100, 101):
self.reset_cruise_speed_state()
self.enable(V_CRUISE_ENABLE_MIN * CV.KPH_TO_MS)
# first decrement speed, then perform gas pressed logic
expected_v_cruise_kph = self.v_cruise_helper.v_cruise_kph - IMPERIAL_INCREMENT
expected_v_cruise_kph = max(expected_v_cruise_kph, v_ego * CV.MS_TO_KPH) # clip to min of vEgo
expected_v_cruise_kph = float(np.clip(round(expected_v_cruise_kph, 1), V_CRUISE_MIN, V_CRUISE_MAX))
CS = car.CarState(vEgo=float(v_ego), gasPressed=True, cruiseState={"available": True})
CS.buttonEvents = [ButtonEvent(type=ButtonType.decelCruise, pressed=False)]
self.v_cruise_helper.update_v_cruise(CS, enabled=True, is_metric=False)
# TODO: fix skipping first run due to enabled on rising edge exception
if v_ego == 0.0:
continue
self.assertEqual(expected_v_cruise_kph, self.v_cruise_helper.v_cruise_kph)
def test_initialize_v_cruise(self):
"""
Asserts allowed cruise speeds on enabling with SET.
"""
for v_ego in np.linspace(0, 100, 101):
self.reset_cruise_speed_state()
self.assertFalse(self.v_cruise_helper.v_cruise_initialized)
self.enable(float(v_ego))
self.assertTrue(V_CRUISE_ENABLE_MIN <= self.v_cruise_helper.v_cruise_kph <= V_CRUISE_MAX)
self.assertTrue(self.v_cruise_helper.v_cruise_initialized)
if __name__ == "__main__":
unittest.main()

@ -1,12 +1,11 @@
#!/usr/bin/env python3
import unittest
import numpy as np
from common.params import Params
from selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import desired_follow_distance
from selfdrive.test.longitudinal_maneuvers.maneuver import Maneuver
def run_following_distance_simulation(v_lead, t_end=100.0, e2e=False):
man = Maneuver(
'',
@ -16,7 +15,7 @@ def run_following_distance_simulation(v_lead, t_end=100.0, e2e=False):
initial_distance_lead=100,
speed_lead_values=[v_lead],
breakpoints=[0.],
e2e=e2e
e2e=e2e,
)
valid, output = man.evaluate()
assert valid
@ -25,13 +24,11 @@ def run_following_distance_simulation(v_lead, t_end=100.0, e2e=False):
class TestFollowingDistance(unittest.TestCase):
def test_following_distance(self):
params = Params()
for e2e in [False, True]:
params.put_bool("ExperimentalMode", e2e)
for speed in np.arange(0, 40, 5):
print(f'Testing {speed} m/s')
v_lead = float(speed)
simulation_steady_state = run_following_distance_simulation(v_lead)
simulation_steady_state = run_following_distance_simulation(v_lead, e2e=e2e)
correct_steady_state = desired_follow_distance(v_lead, v_lead)
err_ratio = 0.2 if e2e else 0.1
self.assertAlmostEqual(simulation_steady_state, correct_steady_state, delta=(err_ratio * correct_steady_state + .5))

@ -79,7 +79,7 @@ class TestStateMachine(unittest.TestCase):
self.assertEqual(self.controlsd.state, State.disabled)
def test_no_entry(self):
# disabled with enable events
# Make sure noEntry keeps us disabled
for et in ENABLE_EVENT_TYPES:
self.controlsd.events.add(make_event([ET.NO_ENTRY, et]))
self.controlsd.state_transition(self.CS)
@ -87,11 +87,11 @@ class TestStateMachine(unittest.TestCase):
self.controlsd.events.clear()
def test_no_entry_pre_enable(self):
# preEnabled with preEnabled event
# preEnabled with noEntry event
self.controlsd.state = State.preEnabled
self.controlsd.events.add(make_event([ET.NO_ENTRY, ET.PRE_ENABLE]))
self.controlsd.state_transition(self.CS)
self.assertEqual(self.controlsd.state, State.disabled)
self.assertEqual(self.controlsd.state, State.preEnabled)
def test_maintain_states(self):
# Given current state's event type, we should maintain state

@ -68,7 +68,7 @@ if __name__ == "__main__":
CP = None
for msg in lr:
if msg.which() == "pandaStates":
if msg.pandaStates[0].pandaType not in ('uno', 'blackPanda', 'dos'):
if msg.pandaStates[0].pandaType in ('unknown', 'whitePanda', 'greyPanda', 'pedal'):
print("wrong panda type")
break

@ -187,6 +187,7 @@ class Laikad:
"gpsTimeOfWeek": tow,
"positionECEF": measurement_msg(value=ecef_pos.tolist(), std=pos_std.tolist(), valid=kf_valid),
"velocityECEF": measurement_msg(value=ecef_vel.tolist(), std=vel_std.tolist(), valid=kf_valid),
# TODO std is incorrectly the dimension of the measurements and not 3D
"positionFixECEF": measurement_msg(value=self.last_pos_fix, std=self.last_pos_residual, valid=self.last_pos_fix_t == t),
"ubloxMonoTime": gnss_mono_time,
"correctedMeasurements": meas_msgs

@ -26,4 +26,16 @@ extern "C" {
memcpy(std_buff, stdev.data(), sizeof(double) * stdev.size());
}
bool is_gps_ok(Localizer *localizer){
return localizer->is_gps_ok();
}
bool are_inputs_ok(Localizer *localizer){
return localizer->are_inputs_ok();
}
void observation_timings_invalid_reset(Localizer *localizer){
localizer->observation_timings_invalid_reset();
}
}

@ -19,6 +19,9 @@ const double VALID_TIME_SINCE_RESET = 1.0; // s
const double VALID_POS_STD = 50.0; // m
const double MAX_RESET_TRACKER = 5.0;
const double SANE_GPS_UNCERTAINTY = 1500.0; // m
const double INPUT_INVALID_THRESHOLD = 5.0; // same as reset tracker
const double DECAY = 0.99995; // same as reset tracker
const double MAX_FILTER_REWIND_TIME = 0.8; // s
// TODO: GPS sensor time offsets are empirically calculated
// They should be replaced with synced time from a real clock
@ -200,6 +203,14 @@ VectorXd Localizer::get_stdev() {
return this->kf->get_P().diagonal().array().sqrt();
}
bool Localizer::are_inputs_ok() {
return this->critical_services_valid(this->observation_values_invalid) && !this->observation_timings_invalid;
}
void Localizer::observation_timings_invalid_reset(){
this->observation_timings_invalid = false;
}
void Localizer::handle_sensor(double current_time, const cereal::SensorEventData::Reader& log) {
// TODO does not yet account for double sensor readings in the log
@ -209,10 +220,15 @@ void Localizer::handle_sensor(double current_time, const cereal::SensorEventData
}
double sensor_time = 1e-9 * log.getTimestamp();
// sensor time and log time should be close
if (std::abs(current_time - sensor_time) > 0.1) {
LOGE("Sensor reading ignored, sensor timestamp more than 100ms off from log time");
this->observation_timings_invalid = true;
return;
}
else if (!this->is_timestamp_valid(sensor_time)) {
this->observation_timings_invalid = true;
return;
}
@ -227,6 +243,10 @@ void Localizer::handle_sensor(double current_time, const cereal::SensorEventData
auto meas = Vector3d(-v[2], -v[1], -v[0]);
if (meas.norm() < ROTATION_SANITY_CHECK) {
this->kf->predict_and_observe(sensor_time, OBSERVATION_PHONE_GYRO, { meas });
this->observation_values_invalid["gyroscope"] *= DECAY;
}
else{
this->observation_values_invalid["gyroscope"] += 1.0;
}
}
@ -242,6 +262,10 @@ void Localizer::handle_sensor(double current_time, const cereal::SensorEventData
auto meas = Vector3d(-v[2], -v[1], -v[0]);
if (meas.norm() < ACCEL_SANITY_CHECK) {
this->kf->predict_and_observe(sensor_time, OBSERVATION_PHONE_ACCEL, { meas });
this->observation_values_invalid["accelerometer"] *= DECAY;
}
else{
this->observation_values_invalid["accelerometer"] += 1.0;
}
}
}
@ -335,8 +359,14 @@ void Localizer::handle_car_state(double current_time, const cereal::CarState::Re
void Localizer::handle_cam_odo(double current_time, const cereal::CameraOdometry::Reader& log) {
VectorXd rot_device = this->device_from_calib * floatlist2vector(log.getRot());
VectorXd trans_device = this->device_from_calib * floatlist2vector(log.getTrans());
if (!this->is_timestamp_valid(current_time)) {
this->observation_timings_invalid = true;
return;
}
if ((rot_device.norm() > ROTATION_SANITY_CHECK) || (trans_device.norm() > TRANS_SANITY_CHECK)) {
this->observation_values_invalid["cameraOdometry"] += 1.0;
return;
}
@ -344,10 +374,12 @@ void Localizer::handle_cam_odo(double current_time, const cereal::CameraOdometry
VectorXd trans_calib_std = floatlist2vector(log.getTransStd());
if ((rot_calib_std.minCoeff() <= MIN_STD_SANITY_CHECK) || (trans_calib_std.minCoeff() <= MIN_STD_SANITY_CHECK)) {
this->observation_values_invalid["cameraOdometry"] += 1.0;
return;
}
if ((rot_calib_std.norm() > 10 * ROTATION_SANITY_CHECK) || (trans_calib_std.norm() > 10 * TRANS_SANITY_CHECK)) {
this->observation_values_invalid["cameraOdometry"] += 1.0;
return;
}
@ -363,12 +395,19 @@ void Localizer::handle_cam_odo(double current_time, const cereal::CameraOdometry
{ rot_device }, { rot_device_cov });
this->kf->predict_and_observe(current_time, OBSERVATION_CAMERA_ODO_TRANSLATION,
{ trans_device }, { trans_device_cov });
this->observation_values_invalid["cameraOdometry"] *= DECAY;
}
void Localizer::handle_live_calib(double current_time, const cereal::LiveCalibrationData::Reader& log) {
if (!this->is_timestamp_valid(current_time)) {
this->observation_timings_invalid = true;
return;
}
if (log.getRpyCalib().size() > 0) {
auto live_calib = floatlist2vector(log.getRpyCalib());
if ((live_calib.minCoeff() < -CALIB_RPY_SANITY_CHECK) || (live_calib.maxCoeff() > CALIB_RPY_SANITY_CHECK)) {
this->observation_values_invalid["liveCalibration"] += 1.0;
return;
}
@ -376,6 +415,7 @@ void Localizer::handle_live_calib(double current_time, const cereal::LiveCalibra
this->device_from_calib = euler2rot(this->calib);
this->calib_from_device = this->device_from_calib.transpose();
this->calibrated = log.getCalStatus() == 1;
this->observation_values_invalid["liveCalibration"] *= DECAY;
}
}
@ -407,8 +447,8 @@ void Localizer::time_check(double current_time) {
void Localizer::update_reset_tracker() {
// reset tracker is tuned to trigger when over 1reset/10s over 2min period
if (this->isGpsOK()) {
this->reset_tracker *= .99995;
if (this->is_gps_ok()) {
this->reset_tracker *= DECAY;
} else {
this->reset_tracker = 0.0;
}
@ -483,10 +523,28 @@ kj::ArrayPtr<capnp::byte> Localizer::get_message_bytes(MessageBuilder& msg_build
return msg_builder.toBytes();
}
bool Localizer::isGpsOK() {
bool Localizer::is_gps_ok() {
return this->gps_valid;
}
bool Localizer::critical_services_valid(std::map<std::string, double> critical_services) {
for (auto &kv : critical_services){
if (kv.second >= INPUT_INVALID_THRESHOLD){
return false;
}
}
return true;
}
bool Localizer::is_timestamp_valid(double current_time) {
double filter_time = this->kf->get_filter_time();
if (!std::isnan(filter_time) && ((filter_time - current_time) > MAX_FILTER_REWIND_TIME)) {
LOGE("Observation timestamp is older than the max rewind threshold of the filter");
return false;
}
return true;
}
void Localizer::determine_gps_mode(double current_time) {
// 1. If the pos_std is greater than what's not acceptable and localizer is in gps-mode, reset to no-gps-mode
// 2. If the pos_std is greater than what's not acceptable and localizer is in no-gps-mode, fake obs
@ -521,10 +579,15 @@ int Localizer::locationd_thread() {
uint64_t cnt = 0;
bool filterInitialized = false;
const std::vector<std::string> critical_input_services = {"cameraOdometry", "liveCalibration", "accelerometer", "gyroscope"};
for (std::string service : critical_input_services) {
this->observation_values_invalid.insert({service, 0.0});
}
while (!do_exit) {
sm.update();
if (filterInitialized){
this->observation_timings_invalid_reset();
for (const char* service : service_list) {
if (sm.updated(service) && sm.valid(service)){
const cereal::Event::Reader log = sm[service];
@ -538,8 +601,8 @@ int Localizer::locationd_thread() {
// 100Hz publish for notcars, 20Hz for cars
const char* trigger_msg = sm["carParams"].getCarParams().getNotCar() ? "accelerometer" : "cameraOdometry";
if (sm.updated(trigger_msg)) {
bool inputsOK = sm.allAliveAndValid();
bool gpsOK = this->isGpsOK();
bool inputsOK = sm.allAliveAndValid() && this->are_inputs_ok();
bool gpsOK = this->is_gps_ok();
bool sensorsOK = sm.allAliveAndValid({"accelerometer", "gyroscope"});
MessageBuilder msg_builder;

@ -3,6 +3,7 @@
#include <eigen3/Eigen/Dense>
#include <fstream>
#include <memory>
#include <map>
#include <string>
#include "cereal/messaging/messaging.h"
@ -32,8 +33,12 @@ public:
void finite_check(double current_time = NAN);
void time_check(double current_time = NAN);
void update_reset_tracker();
bool isGpsOK();
bool is_gps_ok();
bool critical_services_valid(std::map<std::string, double> critical_services);
bool is_timestamp_valid(double current_time);
void determine_gps_mode(double current_time);
bool are_inputs_ok();
void observation_timings_invalid_reset();
kj::ArrayPtr<capnp::byte> get_message_bytes(MessageBuilder& msg_builder,
bool inputsOK, bool sensorsOK, bool gpsOK, bool msgValid);
@ -73,4 +78,6 @@ private:
bool gps_mode = false;
bool gps_valid = false;
bool ublox_available = true;
bool observation_timings_invalid = false;
std::map<std::string, double> observation_values_invalid;
};

@ -16,9 +16,9 @@ from selfdrive.controls.lib.vehicle_model import ACCELERATION_DUE_TO_GRAVITY
HISTORY = 5 # secs
POINTS_PER_BUCKET = 1500
MIN_POINTS_TOTAL = 4000
MIN_POINTS_TOTAL_QLOG = 800
MIN_POINTS_TOTAL_QLOG = 600
FIT_POINTS_TOTAL = 2000
FIT_POINTS_TOTAL_QLOG = 800
FIT_POINTS_TOTAL_QLOG = 600
MIN_VEL = 15 # m/s
FRICTION_FACTOR = 1.5 # ~85% of data coverage
FACTOR_SANITY = 0.3

@ -10,6 +10,7 @@
#include <string>
#include <thread>
#include <unordered_map>
#include <utility>
#include "cereal/messaging/messaging.h"
#include "cereal/services.h"

@ -4,6 +4,7 @@
#include <condition_variable>
#include <sstream>
#include <thread>
#include <utility>
#include "catch2/catch.hpp"
#include "cereal/messaging/messaging.h"

@ -24,6 +24,7 @@ procs = [
NativeProcess("logcatd", "system/logcatd", ["./logcatd"]),
NativeProcess("proclogd", "system/proclogd", ["./proclogd"]),
PythonProcess("logmessaged", "system.logmessaged", offroad=True),
PythonProcess("micd", "system.micd"),
PythonProcess("timezoned", "system.timezoned", enabled=not PC, offroad=True),
DaemonProcess("manage_athenad", "selfdrive.athena.manage_athenad", "AthenadPid"),
@ -31,7 +32,8 @@ procs = [
NativeProcess("encoderd", "selfdrive/loggerd", ["./encoderd"]),
NativeProcess("loggerd", "selfdrive/loggerd", ["./loggerd"], onroad=False, callback=logging),
NativeProcess("modeld", "selfdrive/modeld", ["./modeld"]),
# NativeProcess("mapsd", "selfdrive/navd", ["./map_renderer"]),
NativeProcess("mapsd", "selfdrive/navd", ["./map_renderer"], enabled=False),
NativeProcess("navmodeld", "selfdrive/modeld", ["./navmodeld"], enabled=False),
NativeProcess("sensord", "selfdrive/sensord", ["./sensord"], enabled=not PC),
NativeProcess("ubloxd", "selfdrive/locationd", ["./ubloxd"], enabled=(not PC or WEBCAM)),
NativeProcess("ui", "selfdrive/ui", ["./ui"], offroad=True, watchdog_max_dt=(5 if not PC else None)),

@ -4,6 +4,7 @@ import signal
import time
import unittest
from common.params import Params
import selfdrive.manager.manager as manager
from selfdrive.manager.process import DaemonProcess
from selfdrive.manager.process_config import managed_processes
@ -20,6 +21,10 @@ class TestManager(unittest.TestCase):
os.environ['PASSIVE'] = '0'
HARDWARE.set_power_save(False)
# ensure clean CarParams
params = Params()
params.clear_all()
def tearDown(self):
manager.manager_cleanup()
@ -40,6 +45,7 @@ class TestManager(unittest.TestCase):
Ensure all processes exit cleanly when stopped.
"""
HARDWARE.set_power_save(False)
manager.manager_init()
manager.manager_prepare()
for p in ALL_PROCESSES:
managed_processes[p].start()

@ -112,3 +112,8 @@ llenv.Program('_modeld', [
"modeld.cc",
"models/driving.cc",
]+common_model, LIBS=libs + transformations)
lenv.Program('_navmodeld', [
"navmodeld.cc",
"models/nav.cc",
]+common_model, LIBS=libs + transformations)

@ -13,6 +13,7 @@
#endif
#include "common/mat.h"
#include "cereal/messaging/messaging.h"
#include "selfdrive/modeld/transforms/loadyuv.h"
#include "selfdrive/modeld/transforms/transform.h"
@ -21,6 +22,11 @@ const bool send_raw_pred = getenv("SEND_RAW_PRED") != NULL;
void softmax(const float* input, float* output, size_t len);
float sigmoid(float input);
template<class T, size_t size>
constexpr const kj::ArrayPtr<const T> to_kj_array_ptr(const std::array<T, size> &arr) {
return kj::ArrayPtr(arr.data(), arr.size());
}
class ModelFrame {
public:
ModelFrame(cl_device_id device_id, cl_context context);

@ -22,11 +22,6 @@ std::array<float, 3> prev_brake_3ms2_probs = {0,0,0};
// #define DUMP_YUV
template<class T, size_t size>
constexpr const kj::ArrayPtr<const T> to_kj_array_ptr(const std::array<T, size> &arr) {
return kj::ArrayPtr(arr.data(), arr.size());
}
void model_init(ModelState* s, cl_device_id device_id, cl_context context) {
s->frame = new ModelFrame(device_id, context);
s->wide_frame = new ModelFrame(device_id, context);

@ -0,0 +1,66 @@
#include "selfdrive/modeld/models/nav.h"
#include <cstdio>
#include <cstring>
#include "common/mat.h"
#include "common/modeldata.h"
#include "common/timing.h"
void navmodel_init(NavModelState* s) {
#ifdef USE_ONNX_MODEL
s->m = new ONNXModel("models/navmodel.onnx", &s->output[0], NAV_NET_OUTPUT_SIZE, USE_DSP_RUNTIME, false, true);
#else
s->m = new SNPEModel("models/navmodel_q.dlc", &s->output[0], NAV_NET_OUTPUT_SIZE, USE_DSP_RUNTIME, false, true);
#endif
}
NavModelResult* navmodel_eval_frame(NavModelState* s, VisionBuf* buf) {
memcpy(s->net_input_buf, buf->addr, NAV_INPUT_SIZE);
double t1 = millis_since_boot();
s->m->addImage((float*)s->net_input_buf, NAV_INPUT_SIZE/sizeof(float));
s->m->execute();
double t2 = millis_since_boot();
NavModelResult *model_res = (NavModelResult*)&s->output;
model_res->dsp_execution_time = (t2 - t1) / 1000.;
return model_res;
}
void fill_plan(cereal::NavModelData::Builder &framed, const NavModelOutputPlan &plan) {
std::array<float, TRAJECTORY_SIZE> pos_x, pos_y;
std::array<float, TRAJECTORY_SIZE> pos_x_std, pos_y_std;
for (int i=0; i<TRAJECTORY_SIZE; i++) {
pos_x[i] = plan.mean[i].x;
pos_y[i] = plan.mean[i].y;
pos_x_std[i] = exp(plan.std[i].x);
pos_y_std[i] = exp(plan.std[i].y);
}
auto position = framed.initPosition();
position.setX(to_kj_array_ptr(pos_x));
position.setY(to_kj_array_ptr(pos_y));
position.setXStd(to_kj_array_ptr(pos_x_std));
position.setYStd(to_kj_array_ptr(pos_y_std));
}
void navmodel_publish(PubMaster &pm, uint32_t frame_id, const NavModelResult &model_res, float execution_time) {
// make msg
MessageBuilder msg;
auto framed = msg.initEvent().initNavModel();
framed.setFrameId(frame_id);
framed.setModelExecutionTime(execution_time);
framed.setDspExecutionTime(model_res.dsp_execution_time);
framed.setFeatures(to_kj_array_ptr(model_res.features.values));
framed.setDesirePrediction(to_kj_array_ptr(model_res.desire_pred.values));
fill_plan(framed, model_res.plans.get_best_prediction());
pm.send("navModel", msg);
}
void navmodel_free(NavModelState* s) {
delete s->m;
}

@ -0,0 +1,73 @@
#pragma once
#include "cereal/messaging/messaging.h"
#include "cereal/visionipc/visionipc_client.h"
#include "common/util.h"
#include "common/modeldata.h"
#include "selfdrive/modeld/models/commonmodel.h"
#include "selfdrive/modeld/runners/run.h"
constexpr int NAV_INPUT_SIZE = 256*256;
constexpr int NAV_FEATURE_LEN = 64;
constexpr int NAV_DESIRE_LEN = 32;
constexpr int NAV_PLAN_MHP_N = 5;
struct NavModelOutputXY {
float x;
float y;
};
static_assert(sizeof(NavModelOutputXY) == sizeof(float)*2);
struct NavModelOutputPlan {
std::array<NavModelOutputXY, TRAJECTORY_SIZE> mean;
std::array<NavModelOutputXY, TRAJECTORY_SIZE> std;
float prob;
};
static_assert(sizeof(NavModelOutputPlan) == sizeof(NavModelOutputXY)*TRAJECTORY_SIZE*2 + sizeof(float));
struct NavModelOutputPlans {
std::array<NavModelOutputPlan, NAV_PLAN_MHP_N> predictions;
constexpr const NavModelOutputPlan &get_best_prediction() const {
int max_idx = 0;
for (int i = 1; i < predictions.size(); i++) {
if (predictions[i].prob > predictions[max_idx].prob) {
max_idx = i;
}
}
return predictions[max_idx];
}
};
static_assert(sizeof(NavModelOutputPlans) == sizeof(NavModelOutputPlan)*NAV_PLAN_MHP_N);
struct NavModelOutputDesirePrediction {
std::array<float, NAV_DESIRE_LEN> values;
};
static_assert(sizeof(NavModelOutputDesirePrediction) == sizeof(float)*NAV_DESIRE_LEN);
struct NavModelOutputFeatures {
std::array<float, NAV_FEATURE_LEN> values;
};
static_assert(sizeof(NavModelOutputFeatures) == sizeof(float)*NAV_FEATURE_LEN);
struct NavModelResult {
const NavModelOutputPlans plans;
const NavModelOutputDesirePrediction desire_pred;
const NavModelOutputFeatures features;
float dsp_execution_time;
};
static_assert(sizeof(NavModelResult) == sizeof(NavModelOutputPlans) + sizeof(NavModelOutputDesirePrediction) + sizeof(NavModelOutputFeatures) + sizeof(float));
constexpr int NAV_OUTPUT_SIZE = sizeof(NavModelResult) / sizeof(float);
constexpr int NAV_NET_OUTPUT_SIZE = NAV_OUTPUT_SIZE - 1;
struct NavModelState {
RunModel *m;
uint8_t net_input_buf[NAV_INPUT_SIZE];
float output[NAV_OUTPUT_SIZE];
};
void navmodel_init(NavModelState* s);
NavModelResult* navmodel_eval_frame(NavModelState* s, VisionBuf* buf);
void navmodel_publish(PubMaster &pm, uint32_t frame_id, const NavModelResult &model_res, float execution_time);
void navmodel_free(NavModelState* s);

@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:eab4b986e14d7d842d6d5487011c329d356fb56995b2ae7dc7188aefe6df9d97
size 12285002

@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:83d53efc40053b02fe7d3da4ef6213a4a5a1ae4d1bd49c121b9beb6a54ea1148
size 3154868

@ -0,0 +1,12 @@
#!/bin/sh
DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" >/dev/null && pwd)"
cd $DIR
if [ -f /TICI ]; then
export LD_LIBRARY_PATH="/usr/lib/aarch64-linux-gnu:/data/pythonpath/third_party/snpe/larch64:$LD_LIBRARY_PATH"
export ADSP_LIBRARY_PATH="/data/pythonpath/third_party/snpe/dsp/"
else
export LD_LIBRARY_PATH="$DIR/../../third_party/snpe/x86_64-linux-clang:$DIR/../../openpilot/third_party/snpe/x86_64:$LD_LIBRARY_PATH"
fi
exec ./_navmodeld

@ -0,0 +1,59 @@
#include <sys/resource.h>
#include <limits.h>
#include <cstdio>
#include <cstdlib>
#include "cereal/visionipc/visionipc_client.h"
#include "common/swaglog.h"
#include "common/util.h"
#include "selfdrive/modeld/models/nav.h"
ExitHandler do_exit;
void run_model(NavModelState &model, VisionIpcClient &vipc_client) {
PubMaster pm({"navModel"});
double last_ts = 0;
uint32_t last_frame_id = 0;
VisionIpcBufExtra extra = {};
while (!do_exit) {
VisionBuf *buf = vipc_client.recv(&extra);
if (buf == nullptr) continue;
double t1 = millis_since_boot();
NavModelResult *model_res = navmodel_eval_frame(&model, buf);
double t2 = millis_since_boot();
// send navmodel packet
navmodel_publish(pm, extra.frame_id, *model_res, (t2 - t1) / 1000.0);
//printf("navmodel process: %.2fms, from last %.2fms\n", t2 - t1, t1 - last_ts);
last_ts = t1;
last_frame_id = extra.frame_id;
}
}
int main(int argc, char **argv) {
setpriority(PRIO_PROCESS, 0, -15);
// init the models
NavModelState model;
navmodel_init(&model);
LOGW("models loaded, navmodeld starting");
VisionIpcClient vipc_client = VisionIpcClient("navd", VISION_STREAM_MAP, true);
while (!do_exit && !vipc_client.connect(false)) {
util::sleep_for(100);
}
// run the models
if (vipc_client.connected) {
LOGW("connected with buffer size: %d", vipc_client.buffers[0].len);
run_model(model, vipc_client);
}
navmodel_free(&model);
return 0;
}

@ -156,6 +156,11 @@ class DriverStatus():
self._set_timers(active_monitoring=True)
def _reset_awareness(self):
self.awareness = 1.
self.awareness_active = 1.
self.awareness_passive = 1.
def _set_timers(self, active_monitoring):
if self.active_monitoring_mode and self.awareness <= self.threshold_prompt:
if active_monitoring:
@ -289,17 +294,17 @@ class DriverStatus():
self.hi_stds = 0
def update_events(self, events, driver_engaged, ctrl_active, standstill):
if (driver_engaged and self.awareness > 0) or not ctrl_active:
# reset only when on disengagement if red reached
self.awareness = 1.
self.awareness_active = 1.
self.awareness_passive = 1.
if (driver_engaged and self.awareness > 0 and not self.active_monitoring_mode) or not ctrl_active: # reset only when on disengagement if red reached
self._reset_awareness()
return
driver_attentive = self.driver_distraction_filter.x < 0.37
awareness_prev = self.awareness
if (driver_attentive and self.face_detected and self.pose.low_std and self.awareness > 0):
if driver_engaged:
self._reset_awareness()
return
# only restore awareness when paying attention and alert is not red
self.awareness = min(self.awareness + ((self.settings._RECOVERY_FACTOR_MAX-self.settings._RECOVERY_FACTOR_MIN)*(1.-self.awareness)+self.settings._RECOVERY_FACTOR_MIN)*self.step_change, 1.)
if self.awareness == 1.:

@ -101,11 +101,12 @@ class TestMonitoring(unittest.TestCase):
((TEST_TIMESPAN-10-d_status.settings._AWARENESS_TIME)/2))/DT_DMON)].names[0], EventName.driverUnresponsive)
# engaged, down to orange, driver pays attention, back to normal; then down to orange, driver touches wheel
# - should have short orange recovery time and no green afterwards; should recover rightaway on wheel touch
# - should have short orange recovery time and no green afterwards; wheel touch only recovers when paying attention
def test_normal_driver(self):
ds_vector = [msg_DISTRACTED] * int(DISTRACTED_SECONDS_TO_ORANGE/DT_DMON) + \
[msg_ATTENTIVE] * int(DISTRACTED_SECONDS_TO_ORANGE/DT_DMON) + \
[msg_DISTRACTED] * (int(TEST_TIMESPAN/DT_DMON)-int(DISTRACTED_SECONDS_TO_ORANGE*2/DT_DMON))
[msg_DISTRACTED] * int((DISTRACTED_SECONDS_TO_ORANGE+2)/DT_DMON) + \
[msg_ATTENTIVE] * (int(TEST_TIMESPAN/DT_DMON)-int((DISTRACTED_SECONDS_TO_ORANGE*3+2)/DT_DMON))
interaction_vector = [car_interaction_NOT_DETECTED] * int(DISTRACTED_SECONDS_TO_ORANGE*3/DT_DMON) + \
[car_interaction_DETECTED] * (int(TEST_TIMESPAN/DT_DMON)-int(DISTRACTED_SECONDS_TO_ORANGE*3/DT_DMON))
events, _ = self._run_seq(ds_vector, interaction_vector, always_true, always_false)
@ -113,7 +114,8 @@ class TestMonitoring(unittest.TestCase):
self.assertEqual(events[int((DISTRACTED_SECONDS_TO_ORANGE-0.1)/DT_DMON)].names[0], EventName.promptDriverDistracted)
self.assertEqual(len(events[int(DISTRACTED_SECONDS_TO_ORANGE*1.5/DT_DMON)]), 0)
self.assertEqual(events[int((DISTRACTED_SECONDS_TO_ORANGE*3-0.1)/DT_DMON)].names[0], EventName.promptDriverDistracted)
self.assertEqual(len(events[int((DISTRACTED_SECONDS_TO_ORANGE*3+0.1)/DT_DMON)]), 0)
self.assertEqual(events[int((DISTRACTED_SECONDS_TO_ORANGE*3+0.1)/DT_DMON)].names[0], EventName.promptDriverDistracted)
self.assertEqual(len(events[int((DISTRACTED_SECONDS_TO_ORANGE*3+2.5)/DT_DMON)]), 0)
# engaged, down to orange, driver dodges camera, then comes back still distracted, down to red, \
# driver dodges, and then touches wheel to no avail, disengages and reengages

@ -11,33 +11,18 @@
#include "selfdrive/ui/qt/maps/map_helpers.h"
const float DEFAULT_ZOOM = 13.5; // Don't go below 13 or features will start to disappear
const int RENDER_HEIGHT = 512, RENDER_WIDTH = 512;
const int HEIGHT = 256, WIDTH = 256;
const int HEIGHT = 512, WIDTH = 512;
const int NUM_VIPC_BUFFERS = 4;
const int EARTH_CIRCUMFERENCE_METERS = 40075000;
const int PIXELS_PER_TILE = 256;
float get_meters_per_pixel(float lat, float zoom) {
float num_tiles = pow(2, zoom+1);
float meters_per_tile = cos(DEG2RAD(lat)) * EARTH_CIRCUMFERENCE_METERS / num_tiles;
return meters_per_tile / PIXELS_PER_TILE;
}
float get_zoom_level_for_scale(float lat, float meters_per_pixel) {
float meters_per_tile = meters_per_pixel * PIXELS_PER_TILE;
float num_tiles = cos(DEG2RAD(lat)) * EARTH_CIRCUMFERENCE_METERS / meters_per_tile;
return log2(num_tiles) - 1;
}
void downsample(uint8_t *src, uint8_t *dst) {
for (int r = 0; r < HEIGHT; r++) {
for (int c = 0; c < WIDTH; c++) {
dst[r*WIDTH + c] = src[(r*2*RENDER_WIDTH + c*2) * 3];
}
}
}
MapRenderer::MapRenderer(const QMapboxGLSettings &settings, bool online) : m_settings(settings) {
QSurfaceFormat fmt;
@ -59,7 +44,7 @@ MapRenderer::MapRenderer(const QMapboxGLSettings &settings, bool online) : m_set
gl_functions->initializeOpenGLFunctions();
QOpenGLFramebufferObjectFormat fbo_format;
fbo.reset(new QOpenGLFramebufferObject(RENDER_WIDTH, RENDER_HEIGHT, fbo_format));
fbo.reset(new QOpenGLFramebufferObject(WIDTH, HEIGHT, fbo_format));
std::string style = util::read_file(STYLE_PATH);
m_map.reset(new QMapboxGL(nullptr, m_settings, fbo->size(), 1));
@ -69,7 +54,7 @@ MapRenderer::MapRenderer(const QMapboxGLSettings &settings, bool online) : m_set
m_map->resize(fbo->size());
m_map->setFramebufferObject(fbo->handle(), fbo->size());
gl_functions->glViewport(0, 0, RENDER_WIDTH, RENDER_HEIGHT);
gl_functions->glViewport(0, 0, WIDTH, HEIGHT);
if (online) {
vipc_server.reset(new VisionIpcServer("navd"));
@ -94,7 +79,7 @@ void MapRenderer::msgUpdate() {
auto orientation = location.getCalibratedOrientationNED();
bool localizer_valid = (location.getStatus() == cereal::LiveLocationKalman::Status::VALID) && pos.getValid();
if (localizer_valid) {
if (localizer_valid && (sm->rcv_frame("liveLocationKalman") % 10) == 0) {
updatePosition(QMapbox::Coordinate(pos.getValue()[0], pos.getValue()[1]), RAD2DEG(orientation.getValue()[2]));
}
}
@ -114,9 +99,9 @@ void MapRenderer::updatePosition(QMapbox::Coordinate position, float bearing) {
return;
}
// Choose a zoom level that matches the scale of zoom level 13 at latitude 80deg
float scale_lat80 = get_meters_per_pixel(80, 13);
float zoom = get_zoom_level_for_scale(position.first, scale_lat80);
// Choose a scale that ensures above 13 zoom level up to and above 75deg of lat
float meters_per_pixel = 2;
float zoom = get_zoom_level_for_scale(position.first, meters_per_pixel);
m_map->setCoordinate(position);
m_map->setBearing(bearing);
@ -150,13 +135,15 @@ void MapRenderer::sendVipc() {
.timestamp_eof = ts,
};
assert(cap.sizeInBytes() >= buf->len*4);
assert(cap.sizeInBytes() >= buf->len);
uint8_t* dst = (uint8_t*)buf->addr;
uint8_t* src = cap.bits();
// 2x downsample + rgb to grayscale
// RGB to greyscale
memset(dst, 128, buf->len);
downsample(src, dst);
for (int i = 0; i < WIDTH * HEIGHT; i++) {
dst[i] = src[i * 3];
}
vipc_server->send(buf, &extra);
@ -187,8 +174,10 @@ uint8_t* MapRenderer::getImage() {
uint8_t* src = cap.bits();
uint8_t* dst = new uint8_t[WIDTH * HEIGHT];
// 2x downsample + rgb to grayscale
downsample(src, dst);
// RGB to greyscale
for (int i = 0; i < WIDTH * HEIGHT; i++) {
dst[i] = src[i * 3];
}
return dst;
}

@ -9,7 +9,8 @@ from cffi import FFI
from common.ffi_wrapper import suffix
from common.basedir import BASEDIR
HEIGHT = WIDTH = 256
HEIGHT = WIDTH = SIZE = 512
METERS_PER_PIXEL = 2
def get_ffi():

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