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 selfdrive.config 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.interfaces import CarInterfaceBase
ButtonType = car.CarState.ButtonEvent.Type
EventName = car.CarEvent.EventName
class CarInterface(CarInterfaceBase):
@staticmethod
def compute_gb(accel, speed):
return float(accel) / 4.0
@staticmethod
def get_params(candidate, fingerprint=gen_empty_fingerprint(), car_fw=None):
ret = CarInterfaceBase.get_std_params(candidate, fingerprint)
ret.carName = "mazda"
ret.safetyConfigs = [get_safety_config(car.CarParams.SafetyModel.mazda)]
ret.radarOffCan = True
ret.dashcamOnly = candidate not in (CAR.CX5_2022, CAR.CX9_2021)
ret.steerActuatorDelay = 0.1
ret.steerRateCost = 1.0
ret.steerLimitTimer = 0.8
tire_stiffness_factor = 0.70 # not optimized yet
if candidate in (CAR.CX5, CAR.CX5_2022):
ret.mass = 3655 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 15.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19], [0.019]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate in (CAR.CX9, CAR.CX9_2021):
ret.mass = 4217 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 3.1
ret.steerRatio = 17.6
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19], [0.019]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.MAZDA3:
ret.mass = 2875 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.7
ret.steerRatio = 14.0
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19], [0.019]]
ret.lateralTuning.pid.kf = 0.00006
elif candidate == CAR.MAZDA6:
ret.mass = 3443 * CV.LB_TO_KG + STD_CARGO_KG
ret.wheelbase = 2.83
ret.steerRatio = 15.5
ret.lateralTuning.pid.kiBP, ret.lateralTuning.pid.kpBP = [[0.], [0.]]
ret.lateralTuning.pid.kpV, ret.lateralTuning.pid.kiV = [[0.19], [0.019]]
ret.lateralTuning.pid.kf = 0.00006
if candidate not in (CAR.CX5_2022, ):
ret.minSteerSpeed = LKAS_LIMITS.DISABLE_SPEED * CV.KPH_TO_MS
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,
tire_stiffness_factor=tire_stiffness_factor)
return ret
# returns a car.CarState
def update(self, c, can_strings):
self.cp.update_strings(can_strings)
self.cp_cam.update_strings(can_strings)
ret = self.CS.update(self.cp, self.cp_cam)
ret.canValid = self.cp.can_valid and self.cp_cam.can_valid
# events
events = self.create_common_events(ret)
if self.CS.lkas_disabled:
events.add(EventName.lkasDisabled)
elif self.CS.low_speed_alert:
events.add(EventName.belowSteerSpeed)
ret.events = events.to_msg()
self.CS.out = ret.as_reader()
return self.CS.out
def apply(self, c):
ret = self.CC.update(c, self.CS, self.frame)
self.frame += 1
return ret