#!/usr/bin/env python3 import numpy as np from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import CRUISE_MIN_ACCEL from openpilot.selfdrive.controls.lib.longitudinal_planner import ACCEL_MIN, get_max_accel from openpilot.frogpilot.common.frogpilot_variables import CITY_SPEED_LIMIT A_CRUISE_MIN_ECO = CRUISE_MIN_ACCEL / 2 A_CRUISE_MIN_SPORT = CRUISE_MIN_ACCEL * 2 # MPH = [0.0, 11, 22, 34, 45, 56, 89] A_CRUISE_MAX_BP_CUSTOM = [0.0, 5., 10., 15., 20., 25., 40.] A_CRUISE_MAX_VALS_ECO = [2.0, 1.5, 1.0, 0.8, 0.6, 0.4, 0.2] A_CRUISE_MAX_VALS_SPORT = [3.0, 2.5, 2.0, 1.5, 1.0, 0.8, 0.6] def get_max_accel_eco(v_ego): return float(np.interp(v_ego, A_CRUISE_MAX_BP_CUSTOM, A_CRUISE_MAX_VALS_ECO)) def get_max_accel_sport(v_ego): return float(np.interp(v_ego, A_CRUISE_MAX_BP_CUSTOM, A_CRUISE_MAX_VALS_SPORT)) def get_max_accel_low_speeds(max_accel, v_cruise): return float(np.interp(v_cruise, [0., CITY_SPEED_LIMIT / 2, CITY_SPEED_LIMIT], [max_accel / 4, max_accel / 2, max_accel])) def get_max_accel_ramp_off(max_accel, v_cruise, v_ego): return float(np.interp(v_cruise - v_ego, [0., 1., 5.], [0., 0.5, max_accel])) def get_max_allowed_accel(v_ego): return float(np.interp(v_ego, [0., 5., 20.], [4.0, 4.0, 2.0])) # ISO 15622:2018 class FrogPilotAcceleration: def __init__(self, FrogPilotPlanner): self.frogpilot_planner = FrogPilotPlanner self.max_accel = 0 self.min_accel = 0 def update(self, v_ego, sm, frogpilot_toggles): eco_gear = sm["frogpilotCarState"].ecoGear sport_gear = sm["frogpilotCarState"].sportGear if sm["frogpilotCarState"].trafficModeEnabled: self.max_accel = get_max_accel(v_ego) elif frogpilot_toggles.map_acceleration and (eco_gear or sport_gear): if eco_gear: self.max_accel = get_max_accel_eco(v_ego) else: if frogpilot_toggles.acceleration_profile == 2: self.max_accel = get_max_accel_sport(v_ego) else: self.max_accel = get_max_allowed_accel(v_ego) else: if frogpilot_toggles.acceleration_profile == 1: self.max_accel = get_max_accel_eco(v_ego) elif frogpilot_toggles.acceleration_profile == 2: self.max_accel = get_max_accel_sport(v_ego) elif frogpilot_toggles.acceleration_profile == 3: self.max_accel = get_max_allowed_accel(v_ego) else: self.max_accel = get_max_accel(v_ego) if frogpilot_toggles.human_acceleration: self.max_accel = min(get_max_accel_low_speeds(self.max_accel, self.frogpilot_planner.v_cruise), self.max_accel) self.max_accel = min(get_max_accel_ramp_off(self.max_accel, self.frogpilot_planner.v_cruise, v_ego), self.max_accel) if self.frogpilot_planner.frogpilot_weather.weather_id != 0: self.max_accel -= self.max_accel * self.frogpilot_planner.frogpilot_weather.reduce_acceleration if self.frogpilot_planner.tracking_lead: self.min_accel = ACCEL_MIN elif sm["frogpilotCarState"].forceCoast: self.min_accel = A_CRUISE_MIN_ECO elif frogpilot_toggles.map_deceleration and (eco_gear or sport_gear): if eco_gear: self.min_accel = A_CRUISE_MIN_ECO else: self.min_accel = A_CRUISE_MIN_SPORT else: if frogpilot_toggles.deceleration_profile == 1: self.min_accel = A_CRUISE_MIN_ECO elif frogpilot_toggles.deceleration_profile == 2: self.min_accel = A_CRUISE_MIN_SPORT else: self.min_accel = CRUISE_MIN_ACCEL