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.
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#!/usr/bin/env python3
from cereal import car
from math import fabs
from panda import Panda
from common.conversions import Conversions as CV
from selfdrive.car import STD_CARGO_KG, create_button_event, scale_rot_inertia, scale_tire_stiffness, gen_empty_fingerprint, get_safety_config
from selfdrive.car.gm.values import CAR, CruiseButtons, CarControllerParams, EV_CAR, CAMERA_ACC_CAR
from selfdrive.car.interfaces import CarInterfaceBase
ButtonType = car.CarState.ButtonEvent.Type
EventName = car.CarEvent.EventName
GearShifter = car.CarState.GearShifter
TransmissionType = car.CarParams.TransmissionType
NetworkLocation = car.CarParams.NetworkLocation
BUTTONS_DICT = {CruiseButtons.RES_ACCEL: ButtonType.accelCruise, CruiseButtons.DECEL_SET: ButtonType.decelCruise,
CruiseButtons.MAIN: ButtonType.altButton3, CruiseButtons.CANCEL: ButtonType.cancel}
class CarInterface(CarInterfaceBase):
@staticmethod
def get_pid_accel_limits(CP, current_speed, cruise_speed):
return CarControllerParams.ACCEL_MIN, CarControllerParams.ACCEL_MAX
# Determined by iteratively plotting and minimizing error for f(angle, speed) = steer.
@staticmethod
def get_steer_feedforward_volt(desired_angle, v_ego):
desired_angle *= 0.02904609
sigmoid = desired_angle / (1 + fabs(desired_angle))
return 0.10006696 * sigmoid * (v_ego + 3.12485927)
@staticmethod
def get_steer_feedforward_acadia(desired_angle, v_ego):
desired_angle *= 0.09760208
sigmoid = desired_angle / (1 + fabs(desired_angle))
return 0.04689655 * sigmoid * (v_ego + 10.028217)
def get_steer_feedforward_function(self):
if self.CP.carFingerprint == CAR.VOLT:
return self.get_steer_feedforward_volt
elif self.CP.carFingerprint == CAR.ACADIA:
return self.get_steer_feedforward_acadia
else:
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)
ret.carName = "gm"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.gm)]
ret.autoResumeSng = False
if candidate in EV_CAR:
ret.transmissionType = TransmissionType.direct
else:
ret.transmissionType = TransmissionType.automatic
ret.longitudinalTuning.deadzoneBP = [0.]
ret.longitudinalTuning.deadzoneV = [0.15]
ret.longitudinalTuning.kpBP = [5., 35.]
ret.longitudinalTuning.kiBP = [0.]
if candidate in CAMERA_ACC_CAR:
ret.experimentalLongitudinalAvailable = True
ret.networkLocation = NetworkLocation.fwdCamera
ret.radarOffCan = True # no radar
ret.pcmCruise = True
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_GM_HW_CAM
ret.minEnableSpeed = 5 * CV.KPH_TO_MS
if experimental_long:
ret.pcmCruise = False
ret.openpilotLongitudinalControl = True
ret.safetyConfigs[0].safetyParam |= Panda.FLAG_GM_HW_CAM_LONG
# Tuning
ret.longitudinalTuning.kpV = [2.0, 1.5]
ret.longitudinalTuning.kiV = [0.72]
ret.stopAccel = -2.0
ret.stoppingDecelRate = 2.0 # reach brake quickly after enabling
ret.vEgoStopping = 0.25
ret.vEgoStarting = 0.25
ret.longitudinalActuatorDelayUpperBound = 0.5
else: # ASCM, OBD-II harness
ret.openpilotLongitudinalControl = True
ret.networkLocation = NetworkLocation.gateway
ret.radarOffCan = False
ret.pcmCruise = False # stock non-adaptive cruise control is kept off
# supports stop and go, but initial engage must (conservatively) be above 18mph
ret.minEnableSpeed = 18 * CV.MPH_TO_MS
# Tuning
ret.longitudinalTuning.kpV = [2.4, 1.5]
ret.longitudinalTuning.kiV = [0.36]
# 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}
# 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
ret.minSteerSpeed = 10.1 * CV.KPH_TO_MS
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.2], [0.00]]
ret.lateralTuning.pid.kf = 0.00004 # full torque for 20 deg at 80mph means 0.00007818594
ret.steerActuatorDelay = 0.1 # Default delay, not measured yet
tire_stiffness_factor = 0.444 # not optimized yet
ret.steerLimitTimer = 0.4
ret.radarTimeStep = 0.0667 # GM radar runs at 15Hz instead of standard 20Hz
if candidate == CAR.VOLT:
ret.mass = 1607. + STD_CARGO_KG
ret.wheelbase = 2.69
ret.steerRatio = 17.7 # Stock 15.7, LiveParameters
tire_stiffness_factor = 0.469 # Stock Michelin Energy Saver A/S, LiveParameters
ret.centerToFront = ret.wheelbase * 0.45 # Volt Gen 1, TODO corner weigh
ret.lateralTuning.pid.kpBP = [0., 40.]
ret.lateralTuning.pid.kpV = [0., 0.17]
ret.lateralTuning.pid.kiBP = [0.]
ret.lateralTuning.pid.kiV = [0.]
ret.lateralTuning.pid.kf = 1. # get_steer_feedforward_volt()
ret.steerActuatorDelay = 0.2
elif candidate == CAR.MALIBU:
ret.mass = 1496. + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 15.8
ret.centerToFront = ret.wheelbase * 0.4 # wild guess
elif candidate == CAR.HOLDEN_ASTRA:
ret.mass = 1363. + STD_CARGO_KG
ret.wheelbase = 2.662
# Remaining parameters copied from Volt for now
ret.centerToFront = ret.wheelbase * 0.4
ret.steerRatio = 15.7
elif candidate == CAR.ACADIA:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 4353. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.86
ret.steerRatio = 14.4 # end to end is 13.46
ret.centerToFront = ret.wheelbase * 0.4
ret.lateralTuning.pid.kf = 1. # get_steer_feedforward_acadia()
ret.longitudinalActuatorDelayUpperBound = 0.5 # large delay to initially start braking
elif candidate == CAR.BUICK_REGAL:
ret.mass = 3779. * CV.LB_TO_KG + STD_CARGO_KG # (3849+3708)/2
ret.wheelbase = 2.83 # 111.4 inches in meters
ret.steerRatio = 14.4 # guess for tourx
ret.centerToFront = ret.wheelbase * 0.4 # guess for tourx
elif candidate == CAR.CADILLAC_ATS:
ret.mass = 1601. + STD_CARGO_KG
ret.wheelbase = 2.78
ret.steerRatio = 15.3
ret.centerToFront = ret.wheelbase * 0.5
elif candidate == CAR.ESCALADE_ESV:
ret.minEnableSpeed = -1. # engage speed is decided by pcm
ret.mass = 2739. + STD_CARGO_KG
ret.wheelbase = 3.302
ret.steerRatio = 17.3
ret.centerToFront = ret.wheelbase * 0.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[10., 41.0], [10., 41.0]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.13, 0.24], [0.01, 0.02]]
ret.lateralTuning.pid.kf = 0.000045
tire_stiffness_factor = 1.0
elif candidate in (CAR.BOLT_EV, CAR.BOLT_EUV):
ret.mass = 1669. + STD_CARGO_KG
ret.wheelbase = 2.63779
ret.steerRatio = 16.8
ret.centerToFront = 2.15 # measured
tire_stiffness_factor = 1.0
ret.steerActuatorDelay = 0.2
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
elif candidate == CAR.SILVERADO:
ret.mass = 2200. + STD_CARGO_KG
ret.wheelbase = 3.75
ret.steerRatio = 16.3
ret.centerToFront = ret.wheelbase * 0.5
tire_stiffness_factor = 1.0
CarInterfaceBase.configure_torque_tune(candidate, ret.lateralTuning)
elif candidate == CAR.EQUINOX:
ret.mass = 3500. * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.72
ret.steerRatio = 14.4
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,
tire_stiffness_factor=tire_stiffness_factor)
return ret
# returns a car.CarState
def _update(self, c):
ret = self.CS.update(self.cp, self.cp_cam, self.cp_loopback)
if self.CS.cruise_buttons != self.CS.prev_cruise_buttons and self.CS.prev_cruise_buttons != CruiseButtons.INIT:
buttonEvents = [create_button_event(self.CS.cruise_buttons, self.CS.prev_cruise_buttons, BUTTONS_DICT, CruiseButtons.UNPRESS)]
# Handle ACCButtons changing buttons mid-press
if self.CS.cruise_buttons != CruiseButtons.UNPRESS and self.CS.prev_cruise_buttons != CruiseButtons.UNPRESS:
buttonEvents.append(create_button_event(CruiseButtons.UNPRESS, self.CS.prev_cruise_buttons, BUTTONS_DICT, CruiseButtons.UNPRESS))
ret.buttonEvents = buttonEvents
events = self.create_common_events(ret, extra_gears=[GearShifter.sport, GearShifter.low,
GearShifter.eco, GearShifter.manumatic],
pcm_enable=self.CP.pcmCruise)
# 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
below_min_enable_speed = ret.vEgo < self.CP.minEnableSpeed or self.CS.moving_backward
if below_min_enable_speed and not (ret.standstill and ret.brake >= 20 and
self.CP.networkLocation == NetworkLocation.fwdCamera):
events.add(EventName.belowEngageSpeed)
if ret.cruiseState.standstill:
events.add(EventName.resumeRequired)
if ret.vEgo < self.CP.minSteerSpeed:
events.add(EventName.belowSteerSpeed)
ret.events = events.to_msg()
return ret
def apply(self, c):
return self.CC.update(c, self.CS)