176 lines
6.7 KiB
Python
176 lines
6.7 KiB
Python
import os
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from common.fingerprints import TOYOTA as CAR
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from selfdrive.can.parser import CANParser
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from selfdrive.config import Conversions as CV
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from common.kalman.simple_kalman import KF1D
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import numpy as np
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def parse_gear_shifter(can_gear, car_fingerprint):
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# TODO: Use values from DBC to parse this field
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if car_fingerprint == CAR.PRIUS:
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if can_gear == 0x0:
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return "park"
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elif can_gear == 0x1:
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return "reverse"
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elif can_gear == 0x2:
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return "neutral"
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elif can_gear == 0x3:
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return "drive"
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elif can_gear == 0x4:
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return "brake"
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elif car_fingerprint in [CAR.RAV4, CAR.RAV4H,
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CAR.LEXUS_RXH, CAR.COROLLA]:
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if can_gear == 0x20:
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return "park"
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elif can_gear == 0x10:
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return "reverse"
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elif can_gear == 0x8:
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return "neutral"
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elif can_gear == 0x0:
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return "drive"
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elif can_gear == 0x1:
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return "sport"
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return "unknown"
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def get_can_parser(CP):
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# this function generates lists for signal, messages and initial values
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if CP.carFingerprint == CAR.PRIUS:
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dbc_f = 'toyota_prius_2017_pt_generated.dbc'
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elif CP.carFingerprint == CAR.RAV4H:
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dbc_f = 'toyota_rav4_hybrid_2017_pt_generated.dbc'
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elif CP.carFingerprint == CAR.RAV4:
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dbc_f = 'toyota_rav4_2017_pt_generated.dbc'
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elif CP.carFingerprint == CAR.COROLLA:
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dbc_f = 'toyota_corolla_2017_pt_generated.dbc'
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elif CP.carFingerprint == CAR.LEXUS_RXH:
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dbc_f = 'lexus_rx_hybrid_2017_pt_generated.dbc'
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signals = [
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# sig_name, sig_address, default
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("GEAR", "GEAR_PACKET", 0),
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("BRAKE_PRESSED", "BRAKE_MODULE", 0),
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("GAS_PEDAL", "GAS_PEDAL", 0),
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("WHEEL_SPEED_FL", "WHEEL_SPEEDS", 0),
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("WHEEL_SPEED_FR", "WHEEL_SPEEDS", 0),
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("WHEEL_SPEED_RL", "WHEEL_SPEEDS", 0),
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("WHEEL_SPEED_RR", "WHEEL_SPEEDS", 0),
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("DOOR_OPEN_FL", "SEATS_DOORS", 1),
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("DOOR_OPEN_FR", "SEATS_DOORS", 1),
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("DOOR_OPEN_RL", "SEATS_DOORS", 1),
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("DOOR_OPEN_RR", "SEATS_DOORS", 1),
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("SEATBELT_DRIVER_UNLATCHED", "SEATS_DOORS", 1),
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("TC_DISABLED", "ESP_CONTROL", 1),
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("STEER_ANGLE", "STEER_ANGLE_SENSOR", 0),
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("STEER_FRACTION", "STEER_ANGLE_SENSOR", 0),
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("STEER_RATE", "STEER_ANGLE_SENSOR", 0),
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("GAS_RELEASED", "PCM_CRUISE", 0),
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("CRUISE_STATE", "PCM_CRUISE", 0),
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("MAIN_ON", "PCM_CRUISE_2", 0),
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("SET_SPEED", "PCM_CRUISE_2", 0),
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("LOW_SPEED_LOCKOUT", "PCM_CRUISE_2", 0),
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("STEER_TORQUE_DRIVER", "STEER_TORQUE_SENSOR", 0),
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("STEER_TORQUE_EPS", "STEER_TORQUE_SENSOR", 0),
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("TURN_SIGNALS", "STEERING_LEVERS", 3), # 3 is no blinkers
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("LKA_STATE", "EPS_STATUS", 0),
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("IPAS_STATE", "EPS_STATUS", 1),
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("BRAKE_LIGHTS_ACC", "ESP_CONTROL", 0),
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("AUTO_HIGH_BEAM", "LIGHT_STALK", 0),
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]
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checks = [
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("BRAKE_MODULE", 40),
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("GAS_PEDAL", 33),
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("WHEEL_SPEEDS", 80),
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("STEER_ANGLE_SENSOR", 80),
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("PCM_CRUISE", 33),
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("PCM_CRUISE_2", 33),
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("STEER_TORQUE_SENSOR", 50),
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("EPS_STATUS", 25),
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]
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return CANParser(os.path.splitext(dbc_f)[0], signals, checks, 0)
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class CarState(object):
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def __init__(self, CP):
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self.CP = CP
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self.left_blinker_on = 0
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self.right_blinker_on = 0
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# initialize can parser
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self.car_fingerprint = CP.carFingerprint
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# vEgo kalman filter
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dt = 0.01
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# Q = np.matrix([[10.0, 0.0], [0.0, 100.0]])
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# R = 1e3
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self.v_ego_kf = KF1D(x0=np.matrix([[0.0], [0.0]]),
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A=np.matrix([[1.0, dt], [0.0, 1.0]]),
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C=np.matrix([1.0, 0.0]),
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K=np.matrix([[0.12287673], [0.29666309]]))
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self.v_ego = 0.0
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def update(self, cp):
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# copy can_valid
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self.can_valid = cp.can_valid
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# update prevs, update must run once per loop
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self.prev_left_blinker_on = self.left_blinker_on
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self.prev_right_blinker_on = self.right_blinker_on
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self.door_all_closed = not any([cp.vl["SEATS_DOORS"]['DOOR_OPEN_FL'], cp.vl["SEATS_DOORS"]['DOOR_OPEN_FR'],
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cp.vl["SEATS_DOORS"]['DOOR_OPEN_RL'], cp.vl["SEATS_DOORS"]['DOOR_OPEN_RR']])
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self.seatbelt = not cp.vl["SEATS_DOORS"]['SEATBELT_DRIVER_UNLATCHED']
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can_gear = cp.vl["GEAR_PACKET"]['GEAR']
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self.brake_pressed = cp.vl["BRAKE_MODULE"]['BRAKE_PRESSED']
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self.pedal_gas = cp.vl["GAS_PEDAL"]['GAS_PEDAL']
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self.car_gas = self.pedal_gas
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self.esp_disabled = cp.vl["ESP_CONTROL"]['TC_DISABLED']
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# calc best v_ego estimate, by averaging two opposite corners
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self.v_wheel_fl = cp.vl["WHEEL_SPEEDS"]['WHEEL_SPEED_FL'] * CV.KPH_TO_MS
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self.v_wheel_fr = cp.vl["WHEEL_SPEEDS"]['WHEEL_SPEED_FR'] * CV.KPH_TO_MS
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self.v_wheel_rl = cp.vl["WHEEL_SPEEDS"]['WHEEL_SPEED_RL'] * CV.KPH_TO_MS
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self.v_wheel_rr = cp.vl["WHEEL_SPEEDS"]['WHEEL_SPEED_RR'] * CV.KPH_TO_MS
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self.v_wheel = (self.v_wheel_fl + self.v_wheel_fr + self.v_wheel_rl + self.v_wheel_rr) / 4.
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# Kalman filter
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if abs(self.v_wheel - self.v_ego) > 2.0: # Prevent large accelerations when car starts at non zero speed
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self.v_ego_x = np.matrix([[self.v_wheel], [0.0]])
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self.v_ego_raw = self.v_wheel
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v_ego_x = self.v_ego_kf.update(self.v_wheel)
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self.v_ego = float(v_ego_x[0])
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self.a_ego = float(v_ego_x[1])
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self.standstill = not self.v_wheel > 0.001
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self.angle_steers = cp.vl["STEER_ANGLE_SENSOR"]['STEER_ANGLE'] + cp.vl["STEER_ANGLE_SENSOR"]['STEER_FRACTION']
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self.angle_steers_rate = cp.vl["STEER_ANGLE_SENSOR"]['STEER_RATE']
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self.gear_shifter = parse_gear_shifter(can_gear, self.car_fingerprint)
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self.main_on = cp.vl["PCM_CRUISE_2"]['MAIN_ON']
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self.left_blinker_on = cp.vl["STEERING_LEVERS"]['TURN_SIGNALS'] == 1
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self.right_blinker_on = cp.vl["STEERING_LEVERS"]['TURN_SIGNALS'] == 2
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# we could use the override bit from dbc, but it's triggered at too high torque values
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self.steer_override = abs(cp.vl["STEER_TORQUE_SENSOR"]['STEER_TORQUE_DRIVER']) > 100
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# 2 is standby, 10 is active. TODO: check that everything else is really a faulty state
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self.steer_state = cp.vl["EPS_STATUS"]['LKA_STATE']
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self.steer_error = cp.vl["EPS_STATUS"]['LKA_STATE'] not in [2, 10]
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self.ipas_state = cp.vl['EPS_STATUS']['IPAS_STATE']
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self.brake_error = 0
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self.steer_torque_driver = cp.vl["STEER_TORQUE_SENSOR"]['STEER_TORQUE_DRIVER']
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self.steer_torque_motor = cp.vl["STEER_TORQUE_SENSOR"]['STEER_TORQUE_EPS']
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self.user_brake = 0
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self.v_cruise_pcm = cp.vl["PCM_CRUISE_2"]['SET_SPEED']
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self.pcm_acc_status = cp.vl["PCM_CRUISE"]['CRUISE_STATE']
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self.gas_pressed = not cp.vl["PCM_CRUISE"]['GAS_RELEASED']
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self.low_speed_lockout = cp.vl["PCM_CRUISE_2"]['LOW_SPEED_LOCKOUT'] == 2
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self.brake_lights = bool(cp.vl["ESP_CONTROL"]['BRAKE_LIGHTS_ACC'] or self.brake_pressed)
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self.generic_toggle = bool(cp.vl["LIGHT_STALK"]['AUTO_HIGH_BEAM'])
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