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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from cereal import car
from common.numpy_fast import mean
from common.filter_simple import FirstOrderFilter
from common.realtime import DT_CTRL
from opendbc.can.can_define import CANDefine
from selfdrive.car.interfaces import CarStateBase
from opendbc.can.parser import CANParser
from selfdrive.config import Conversions as CV
from selfdrive.car.toyota.values import CAR, DBC, STEER_THRESHOLD, NO_STOP_TIMER_CAR, TSS2_CAR
class CarState(CarStateBase):
def __init__(self, CP):
super().__init__(CP)
can_define = CANDefine(DBC[CP.carFingerprint]["pt"])
self.shifter_values = can_define.dv["GEAR_PACKET"]["GEAR"]
# On cars with cp.vl["STEER_TORQUE_SENSOR"]["STEER_ANGLE"]
# the signal is zeroed to where the steering angle is at start.
# Need to apply an offset as soon as the steering angle measurements are both received
self.needs_angle_offset = True
self.accurate_steer_angle_seen = False
self.angle_offset = FirstOrderFilter(None, 60.0, DT_CTRL, initialized=False)
self.low_speed_lockout = False
self.acc_type = 1
def update(self, cp, cp_cam):
ret = car.CarState.new_message()
ret.doorOpen = any([cp.vl["SEATS_DOORS"]["DOOR_OPEN_FL"], cp.vl["SEATS_DOORS"]["DOOR_OPEN_FR"],
cp.vl["SEATS_DOORS"]["DOOR_OPEN_RL"], cp.vl["SEATS_DOORS"]["DOOR_OPEN_RR"]])
ret.seatbeltUnlatched = cp.vl["SEATS_DOORS"]["SEATBELT_DRIVER_UNLATCHED"] != 0
ret.brakePressed = cp.vl["BRAKE_MODULE"]["BRAKE_PRESSED"] != 0
if self.CP.enableGasInterceptor:
ret.gas = (cp.vl["GAS_SENSOR"]["INTERCEPTOR_GAS"] + cp.vl["GAS_SENSOR"]["INTERCEPTOR_GAS2"]) / 2.
ret.gasPressed = ret.gas > 15
else:
ret.gas = cp.vl["GAS_PEDAL"]["GAS_PEDAL"]
ret.gasPressed = cp.vl["PCM_CRUISE"]["GAS_RELEASED"] == 0
ret.wheelSpeeds.fl = cp.vl["WHEEL_SPEEDS"]["WHEEL_SPEED_FL"] * CV.KPH_TO_MS
ret.wheelSpeeds.fr = cp.vl["WHEEL_SPEEDS"]["WHEEL_SPEED_FR"] * CV.KPH_TO_MS
ret.wheelSpeeds.rl = cp.vl["WHEEL_SPEEDS"]["WHEEL_SPEED_RL"] * CV.KPH_TO_MS
ret.wheelSpeeds.rr = cp.vl["WHEEL_SPEEDS"]["WHEEL_SPEED_RR"] * CV.KPH_TO_MS
ret.vEgoRaw = mean([ret.wheelSpeeds.fl, ret.wheelSpeeds.fr, ret.wheelSpeeds.rl, ret.wheelSpeeds.rr])
ret.vEgo, ret.aEgo = self.update_speed_kf(ret.vEgoRaw)
ret.standstill = ret.vEgoRaw < 0.001
ret.steeringAngleDeg = cp.vl["STEER_ANGLE_SENSOR"]["STEER_ANGLE"] + cp.vl["STEER_ANGLE_SENSOR"]["STEER_FRACTION"]
torque_sensor_angle_deg = cp.vl["STEER_TORQUE_SENSOR"]["STEER_ANGLE"]
# Some newer models have a more accurate angle measurement in the TORQUE_SENSOR message. Use if non-zero
if abs(torque_sensor_angle_deg) > 1e-3:
self.accurate_steer_angle_seen = True
if self.accurate_steer_angle_seen:
# Offset seems to be invalid for large steering angles
if abs(ret.steeringAngleDeg) < 90:
self.angle_offset.update(torque_sensor_angle_deg - ret.steeringAngleDeg)
if self.angle_offset.initialized:
ret.steeringAngleOffsetDeg = self.angle_offset.x
ret.steeringAngleDeg = torque_sensor_angle_deg - self.angle_offset.x
ret.steeringRateDeg = cp.vl["STEER_ANGLE_SENSOR"]["STEER_RATE"]
can_gear = int(cp.vl["GEAR_PACKET"]["GEAR"])
ret.gearShifter = self.parse_gear_shifter(self.shifter_values.get(can_gear, None))
ret.leftBlinker = cp.vl["STEERING_LEVERS"]["TURN_SIGNALS"] == 1
ret.rightBlinker = cp.vl["STEERING_LEVERS"]["TURN_SIGNALS"] == 2
ret.steeringTorque = cp.vl["STEER_TORQUE_SENSOR"]["STEER_TORQUE_DRIVER"]
ret.steeringTorqueEps = cp.vl["STEER_TORQUE_SENSOR"]["STEER_TORQUE_EPS"]
# we could use the override bit from dbc, but it's triggered at too high torque values
ret.steeringPressed = abs(ret.steeringTorque) > STEER_THRESHOLD
ret.steerWarning = cp.vl["EPS_STATUS"]["LKA_STATE"] not in [1, 5]
if self.CP.carFingerprint == CAR.LEXUS_IS:
ret.cruiseState.available = cp.vl["DSU_CRUISE"]["MAIN_ON"] != 0
ret.cruiseState.speed = cp.vl["DSU_CRUISE"]["SET_SPEED"] * CV.KPH_TO_MS
else:
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
if self.CP.carFingerprint in TSS2_CAR:
self.acc_type = cp_cam.vl["ACC_CONTROL"]["ACC_TYPE"]
# some TSS2 cars have low speed lockout permanently set, so ignore on those cars
# these cars are identified by an ACC_TYPE value of 2.
# TODO: it may be possible to avoid the lockout and gain stop and go if you
# send your own ACC_CONTROL msg on startup with ACC_TYPE set to 1
if (self.CP.carFingerprint not in TSS2_CAR and self.CP.carFingerprint != CAR.LEXUS_IS) or \
(self.CP.carFingerprint in TSS2_CAR and self.acc_type == 1):
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.enabled = bool(cp.vl["PCM_CRUISE"]["CRUISE_ACTIVE"])
ret.cruiseState.nonAdaptive = cp.vl["PCM_CRUISE"]["CRUISE_STATE"] in [1, 2, 3, 4, 5, 6]
ret.genericToggle = bool(cp.vl["LIGHT_STALK"]["AUTO_HIGH_BEAM"])
ret.stockAeb = bool(cp_cam.vl["PRE_COLLISION"]["PRECOLLISION_ACTIVE"] and cp_cam.vl["PRE_COLLISION"]["FORCE"] < -1e-5)
ret.espDisabled = cp.vl["ESP_CONTROL"]["TC_DISABLED"] != 0
# 2 is standby, 10 is active. TODO: check that everything else is really a faulty state
self.steer_state = cp.vl["EPS_STATUS"]["LKA_STATE"]
if self.CP.enableBsm:
ret.leftBlindspot = (cp.vl["BSM"]["L_ADJACENT"] == 1) or (cp.vl["BSM"]["L_APPROACHING"] == 1)
ret.rightBlindspot = (cp.vl["BSM"]["R_ADJACENT"] == 1) or (cp.vl["BSM"]["R_APPROACHING"] == 1)
return ret
@staticmethod
def get_can_parser(CP):
signals = [
# sig_name, sig_address, default
("STEER_ANGLE", "STEER_ANGLE_SENSOR", 0),
("GEAR", "GEAR_PACKET", 0),
("BRAKE_PRESSED", "BRAKE_MODULE", 0),
("GAS_PEDAL", "GAS_PEDAL", 0),
("WHEEL_SPEED_FL", "WHEEL_SPEEDS", 0),
("WHEEL_SPEED_FR", "WHEEL_SPEEDS", 0),
("WHEEL_SPEED_RL", "WHEEL_SPEEDS", 0),
("WHEEL_SPEED_RR", "WHEEL_SPEEDS", 0),
("DOOR_OPEN_FL", "SEATS_DOORS", 1),
("DOOR_OPEN_FR", "SEATS_DOORS", 1),
("DOOR_OPEN_RL", "SEATS_DOORS", 1),
("DOOR_OPEN_RR", "SEATS_DOORS", 1),
("SEATBELT_DRIVER_UNLATCHED", "SEATS_DOORS", 1),
("TC_DISABLED", "ESP_CONTROL", 1),
("STEER_FRACTION", "STEER_ANGLE_SENSOR", 0),
("STEER_RATE", "STEER_ANGLE_SENSOR", 0),
("CRUISE_ACTIVE", "PCM_CRUISE", 0),
("CRUISE_STATE", "PCM_CRUISE", 0),
("GAS_RELEASED", "PCM_CRUISE", 1),
("STEER_TORQUE_DRIVER", "STEER_TORQUE_SENSOR", 0),
("STEER_TORQUE_EPS", "STEER_TORQUE_SENSOR", 0),
("STEER_ANGLE", "STEER_TORQUE_SENSOR", 0),
("TURN_SIGNALS", "STEERING_LEVERS", 3), # 3 is no blinkers
("LKA_STATE", "EPS_STATUS", 0),
("AUTO_HIGH_BEAM", "LIGHT_STALK", 0),
]
checks = [
("GEAR_PACKET", 1),
("LIGHT_STALK", 1),
("STEERING_LEVERS", 0.15),
("SEATS_DOORS", 3),
("ESP_CONTROL", 3),
("EPS_STATUS", 25),
("BRAKE_MODULE", 40),
("GAS_PEDAL", 33),
("WHEEL_SPEEDS", 80),
("STEER_ANGLE_SENSOR", 80),
("PCM_CRUISE", 33),
("STEER_TORQUE_SENSOR", 50),
]
if CP.carFingerprint == CAR.LEXUS_IS:
signals.append(("MAIN_ON", "DSU_CRUISE", 0))
signals.append(("SET_SPEED", "DSU_CRUISE", 0))
checks.append(("DSU_CRUISE", 5))
else:
signals.append(("MAIN_ON", "PCM_CRUISE_2", 0))
signals.append(("SET_SPEED", "PCM_CRUISE_2", 0))
signals.append(("LOW_SPEED_LOCKOUT", "PCM_CRUISE_2", 0))
checks.append(("PCM_CRUISE_2", 33))
# add gas interceptor reading if we are using it
if CP.enableGasInterceptor:
signals.append(("INTERCEPTOR_GAS", "GAS_SENSOR", 0))
signals.append(("INTERCEPTOR_GAS2", "GAS_SENSOR", 0))
checks.append(("GAS_SENSOR", 50))
if CP.enableBsm:
signals += [
("L_ADJACENT", "BSM", 0),
("L_APPROACHING", "BSM", 0),
("R_ADJACENT", "BSM", 0),
("R_APPROACHING", "BSM", 0),
]
checks += [
("BSM", 1)
]
return CANParser(DBC[CP.carFingerprint]["pt"], signals, checks, 0)
@staticmethod
def get_cam_can_parser(CP):
signals = [
("FORCE", "PRE_COLLISION", 0),
("PRECOLLISION_ACTIVE", "PRE_COLLISION", 0),
]
# use steering message to check if panda is connected to frc
checks = [
("STEERING_LKA", 42),
("PRE_COLLISION", 0), # TODO: figure out why freq is inconsistent
]
if CP.carFingerprint in TSS2_CAR:
signals.append(("ACC_TYPE", "ACC_CONTROL", 0))
checks.append(("ACC_CONTROL", 33))
return CANParser(DBC[CP.carFingerprint]["pt"], signals, checks, 2)