openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 

279 lines
11 KiB

import copy
import re
from dataclasses import dataclass, field, replace
from enum import Enum, IntFlag
import panda.python.uds as uds
from openpilot.selfdrive.car import AngleRateLimit, CarSpecs, dbc_dict, DbcDict, PlatformConfig, Platforms
from openpilot.selfdrive.car.structs import CarParams
from openpilot.selfdrive.car.docs_definitions import CarFootnote, CarHarness, CarDocs, CarParts, Column, \
Device
from openpilot.selfdrive.car.fw_query_definitions import FwQueryConfig, LiveFwVersions, OfflineFwVersions, Request, StdQueries, p16
Ecu = CarParams.Ecu
class CarControllerParams:
STEER_STEP = 5 # LateralMotionControl, 20Hz
LKA_STEP = 3 # Lane_Assist_Data1, 33Hz
ACC_CONTROL_STEP = 2 # ACCDATA, 50Hz
LKAS_UI_STEP = 100 # IPMA_Data, 1Hz
ACC_UI_STEP = 20 # ACCDATA_3, 5Hz
BUTTONS_STEP = 5 # Steering_Data_FD1, 10Hz, but send twice as fast
CURVATURE_MAX = 0.02 # Max curvature for steering command, m^-1
STEER_DRIVER_ALLOWANCE = 1.0 # Driver intervention threshold, Nm
# Curvature rate limits
# The curvature signal is limited to 0.003 to 0.009 m^-1/sec by the EPS depending on speed and direction
# Limit to ~2 m/s^3 up, ~3 m/s^3 down at 75 mph
# Worst case, the low speed limits will allow 4.3 m/s^3 up, 4.9 m/s^3 down at 75 mph
ANGLE_RATE_LIMIT_UP = AngleRateLimit(speed_bp=[5, 25], angle_v=[0.0002, 0.0001])
ANGLE_RATE_LIMIT_DOWN = AngleRateLimit(speed_bp=[5, 25], angle_v=[0.000225, 0.00015])
CURVATURE_ERROR = 0.002 # ~6 degrees at 10 m/s, ~10 degrees at 35 m/s
ACCEL_MAX = 2.0 # m/s^2 max acceleration
ACCEL_MIN = -3.5 # m/s^2 max deceleration
MIN_GAS = -0.5
INACTIVE_GAS = -5.0
def __init__(self, CP):
pass
class FordFlags(IntFlag):
# Static flags
CANFD = 1
class RADAR:
DELPHI_ESR = 'ford_fusion_2018_adas'
DELPHI_MRR = 'FORD_CADS'
class Footnote(Enum):
FOCUS = CarFootnote(
"Refers only to the Focus Mk4 (C519) available in Europe/China/Taiwan/Australasia, not the Focus Mk3 (C346) in " +
"North and South America/Southeast Asia.",
Column.MODEL,
)
@dataclass
class FordCarDocs(CarDocs):
package: str = "Co-Pilot360 Assist+"
hybrid: bool = False
plug_in_hybrid: bool = False
def init_make(self, CP: CarParams):
harness = CarHarness.ford_q4 if CP.flags & FordFlags.CANFD else CarHarness.ford_q3
if CP.carFingerprint in (CAR.FORD_BRONCO_SPORT_MK1, CAR.FORD_MAVERICK_MK1, CAR.FORD_F_150_MK14, CAR.FORD_F_150_LIGHTNING_MK1):
self.car_parts = CarParts([Device.threex_angled_mount, harness])
else:
self.car_parts = CarParts([Device.threex, harness])
@dataclass
class FordPlatformConfig(PlatformConfig):
dbc_dict: DbcDict = field(default_factory=lambda: dbc_dict('ford_lincoln_base_pt', RADAR.DELPHI_MRR))
def init(self):
for car_docs in list(self.car_docs):
if car_docs.hybrid:
name = f"{car_docs.make} {car_docs.model} Hybrid {car_docs.years}"
self.car_docs.append(replace(copy.deepcopy(car_docs), name=name))
if car_docs.plug_in_hybrid:
name = f"{car_docs.make} {car_docs.model} Plug-in Hybrid {car_docs.years}"
self.car_docs.append(replace(copy.deepcopy(car_docs), name=name))
@dataclass
class FordCANFDPlatformConfig(FordPlatformConfig):
dbc_dict: DbcDict = field(default_factory=lambda: dbc_dict('ford_lincoln_base_pt', None))
def init(self):
super().init()
self.flags |= FordFlags.CANFD
class CAR(Platforms):
FORD_BRONCO_SPORT_MK1 = FordPlatformConfig(
[FordCarDocs("Ford Bronco Sport 2021-23")],
CarSpecs(mass=1625, wheelbase=2.67, steerRatio=17.7),
)
FORD_ESCAPE_MK4 = FordPlatformConfig(
[
FordCarDocs("Ford Escape 2020-22", hybrid=True, plug_in_hybrid=True),
FordCarDocs("Ford Kuga 2020-22", "Adaptive Cruise Control with Lane Centering", hybrid=True, plug_in_hybrid=True),
],
CarSpecs(mass=1750, wheelbase=2.71, steerRatio=16.7),
)
FORD_EXPLORER_MK6 = FordPlatformConfig(
[
FordCarDocs("Ford Explorer 2020-23", hybrid=True), # Hybrid: Limited and Platinum only
FordCarDocs("Lincoln Aviator 2020-23", "Co-Pilot360 Plus", plug_in_hybrid=True), # Hybrid: Grand Touring only
],
CarSpecs(mass=2050, wheelbase=3.025, steerRatio=16.8),
)
FORD_F_150_MK14 = FordCANFDPlatformConfig(
[FordCarDocs("Ford F-150 2022-23", "Co-Pilot360 Active 2.0", hybrid=True)],
CarSpecs(mass=2000, wheelbase=3.69, steerRatio=17.0),
)
FORD_F_150_LIGHTNING_MK1 = FordCANFDPlatformConfig(
[FordCarDocs("Ford F-150 Lightning 2021-23", "Co-Pilot360 Active 2.0")],
CarSpecs(mass=2948, wheelbase=3.70, steerRatio=16.9),
)
FORD_FOCUS_MK4 = FordPlatformConfig(
[FordCarDocs("Ford Focus 2018", "Adaptive Cruise Control with Lane Centering", footnotes=[Footnote.FOCUS], hybrid=True)], # mHEV only
CarSpecs(mass=1350, wheelbase=2.7, steerRatio=15.0),
)
FORD_MAVERICK_MK1 = FordPlatformConfig(
[
FordCarDocs("Ford Maverick 2022", "LARIAT Luxury", hybrid=True),
FordCarDocs("Ford Maverick 2023-24", "Co-Pilot360 Assist", hybrid=True),
],
CarSpecs(mass=1650, wheelbase=3.076, steerRatio=17.0),
)
FORD_MUSTANG_MACH_E_MK1 = FordCANFDPlatformConfig(
[FordCarDocs("Ford Mustang Mach-E 2021-23", "Co-Pilot360 Active 2.0")],
CarSpecs(mass=2200, wheelbase=2.984, steerRatio=17.0), # TODO: check steer ratio
)
FORD_RANGER_MK2 = FordCANFDPlatformConfig(
[FordCarDocs("Ford Ranger 2024", "Adaptive Cruise Control with Lane Centering")],
CarSpecs(mass=2000, wheelbase=3.27, steerRatio=17.0),
)
# FW response contains a combined software and part number
# A-Z except no I, O or W
# e.g. NZ6A-14C204-AAA
# 1222-333333-444
# 1 = Model year hint (approximates model year/generation)
# 2 = Platform hint
# 3 = Part number
# 4 = Software version
FW_ALPHABET = b'A-HJ-NP-VX-Z'
FW_PATTERN = re.compile(b'^(?P<model_year_hint>[' + FW_ALPHABET + b'])' +
b'(?P<platform_hint>[0-9' + FW_ALPHABET + b']{3})-' +
b'(?P<part_number>[0-9' + FW_ALPHABET + b']{5,6})-' +
b'(?P<software_revision>[' + FW_ALPHABET + b']{2,})\x00*$')
def get_platform_codes(fw_versions: list[bytes] | set[bytes]) -> set[tuple[bytes, bytes]]:
codes = set()
for fw in fw_versions:
match = FW_PATTERN.match(fw)
if match is not None:
codes.add((match.group('platform_hint'), match.group('model_year_hint')))
return codes
def match_fw_to_car_fuzzy(live_fw_versions: LiveFwVersions, vin: str, offline_fw_versions: OfflineFwVersions) -> set[str]:
candidates: set[str] = set()
for candidate, fws in offline_fw_versions.items():
# Keep track of ECUs which pass all checks (platform hint, within model year hint range)
valid_found_ecus = set()
valid_expected_ecus = {ecu[1:] for ecu in fws if ecu[0] in PLATFORM_CODE_ECUS}
for ecu, expected_versions in fws.items():
addr = ecu[1:]
# Only check ECUs expected to have platform codes
if ecu[0] not in PLATFORM_CODE_ECUS:
continue
# Expected platform codes & model year hints
codes = get_platform_codes(expected_versions)
expected_platform_codes = {code for code, _ in codes}
expected_model_year_hints = {model_year_hint for _, model_year_hint in codes}
# Found platform codes & model year hints
codes = get_platform_codes(live_fw_versions.get(addr, set()))
found_platform_codes = {code for code, _ in codes}
found_model_year_hints = {model_year_hint for _, model_year_hint in codes}
# Check platform code matches for any found versions
if not any(found_platform_code in expected_platform_codes for found_platform_code in found_platform_codes):
break
# Check any model year hint within range in the database. Note that some models have more than one
# platform code per ECU which we don't consider as separate ranges
if not any(min(expected_model_year_hints) <= found_model_year_hint <= max(expected_model_year_hints) for
found_model_year_hint in found_model_year_hints):
break
valid_found_ecus.add(addr)
# If all live ECUs pass all checks for candidate, add it as a match
if valid_expected_ecus.issubset(valid_found_ecus):
candidates.add(candidate)
return candidates
# All of these ECUs must be present and are expected to have platform codes we can match
PLATFORM_CODE_ECUS = (Ecu.abs, Ecu.fwdCamera, Ecu.fwdRadar, Ecu.eps)
DATA_IDENTIFIER_FORD_ASBUILT = 0xDE00
ASBUILT_BLOCKS: list[tuple[int, list]] = [
(1, [Ecu.debug, Ecu.fwdCamera, Ecu.eps]),
(2, [Ecu.abs, Ecu.debug, Ecu.eps]),
(3, [Ecu.abs, Ecu.debug, Ecu.eps]),
(4, [Ecu.debug, Ecu.fwdCamera]),
(5, [Ecu.debug]),
(6, [Ecu.debug]),
(7, [Ecu.debug]),
(8, [Ecu.debug]),
(9, [Ecu.debug]),
(16, [Ecu.debug, Ecu.fwdCamera]),
(18, [Ecu.fwdCamera]),
(20, [Ecu.fwdCamera]),
(21, [Ecu.fwdCamera]),
]
def ford_asbuilt_block_request(block_id: int):
return bytes([uds.SERVICE_TYPE.READ_DATA_BY_IDENTIFIER]) + p16(DATA_IDENTIFIER_FORD_ASBUILT + block_id - 1)
def ford_asbuilt_block_response(block_id: int):
return bytes([uds.SERVICE_TYPE.READ_DATA_BY_IDENTIFIER + 0x40]) + p16(DATA_IDENTIFIER_FORD_ASBUILT + block_id - 1)
FW_QUERY_CONFIG = FwQueryConfig(
requests=[
# CAN and CAN FD queries are combined.
# FIXME: For CAN FD, ECUs respond with frames larger than 8 bytes on the powertrain bus
Request(
[StdQueries.TESTER_PRESENT_REQUEST, StdQueries.MANUFACTURER_SOFTWARE_VERSION_REQUEST],
[StdQueries.TESTER_PRESENT_RESPONSE, StdQueries.MANUFACTURER_SOFTWARE_VERSION_RESPONSE],
whitelist_ecus=[Ecu.abs, Ecu.debug, Ecu.engine, Ecu.eps, Ecu.fwdCamera, Ecu.fwdRadar, Ecu.shiftByWire],
logging=True,
),
Request(
[StdQueries.TESTER_PRESENT_REQUEST, StdQueries.MANUFACTURER_SOFTWARE_VERSION_REQUEST],
[StdQueries.TESTER_PRESENT_RESPONSE, StdQueries.MANUFACTURER_SOFTWARE_VERSION_RESPONSE],
whitelist_ecus=[Ecu.abs, Ecu.debug, Ecu.engine, Ecu.eps, Ecu.fwdCamera, Ecu.fwdRadar, Ecu.shiftByWire],
bus=0,
auxiliary=True,
),
*[Request(
[StdQueries.TESTER_PRESENT_REQUEST, ford_asbuilt_block_request(block_id)],
[StdQueries.TESTER_PRESENT_RESPONSE, ford_asbuilt_block_response(block_id)],
whitelist_ecus=ecus,
bus=0,
logging=True,
) for block_id, ecus in ASBUILT_BLOCKS],
],
extra_ecus=[
(Ecu.engine, 0x7e0, None), # Powertrain Control Module
# Note: We are unlikely to get a response from behind the gateway
(Ecu.shiftByWire, 0x732, None), # Gear Shift Module
(Ecu.debug, 0x7d0, None), # Accessory Protocol Interface Module
],
# Custom fuzzy fingerprinting function using platform and model year hints
match_fw_to_car_fuzzy=match_fw_to_car_fuzzy,
)
DBC = CAR.create_dbc_map()