James
144 lines
5.9 KiB
Python
144 lines
5.9 KiB
Python
#!/usr/bin/env python3
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import json
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import cereal.messaging as messaging
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from openpilot.common.constants import CV
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from openpilot.common.filter_simple import FirstOrderFilter
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from openpilot.common.gps import get_gps_location_service
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from openpilot.common.params import Params
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from openpilot.common.realtime import DT_MDL
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from openpilot.selfdrive.car.cruise import V_CRUISE_MAX
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from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import A_CHANGE_COST, DANGER_ZONE_COST, J_EGO_COST, STOP_DISTANCE
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from openpilot.frogpilot.common.frogpilot_utilities import calculate_road_curvature
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from openpilot.frogpilot.common.frogpilot_variables import CRUISING_SPEED, MINIMUM_LATERAL_ACCELERATION, PLANNER_TIME, THRESHOLD
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from openpilot.frogpilot.controls.lib.conditional_experimental_mode import ConditionalExperimentalMode
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from openpilot.frogpilot.controls.lib.frogpilot_acceleration import FrogPilotAcceleration
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from openpilot.frogpilot.controls.lib.frogpilot_events import FrogPilotEvents
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from openpilot.frogpilot.controls.lib.frogpilot_following import FrogPilotFollowing
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from openpilot.frogpilot.controls.lib.frogpilot_vcruise import FrogPilotVCruise
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class FrogPilotPlanner:
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def __init__(self):
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self.params = Params(return_defaults=True)
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self.params_memory = Params(memory=True)
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self.frogpilot_acceleration = FrogPilotAcceleration(self)
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self.frogpilot_cem = ConditionalExperimentalMode(self)
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self.frogpilot_events = FrogPilotEvents(self)
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self.frogpilot_following = FrogPilotFollowing(self)
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self.frogpilot_vcruise = FrogPilotVCruise(self)
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self.driving_in_curve = False
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self.lateral_check = False
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self.model_stopped = False
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self.road_curvature_detected = False
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self.tracking_lead = False
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self.lateral_acceleration = 0
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self.model_length = 0
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self.road_curvature = 0
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self.time_to_curve = 0
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self.v_cruise = 0
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self.gps_position = None
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self.gps_location_service = get_gps_location_service(self.params)
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self.tracking_lead_filter = FirstOrderFilter(0, 0.5, DT_MDL)
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def update(self, now, time_validated, sm, frogpilot_toggles):
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self.lead_one = sm["radarState"].leadOne
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long_control_active = sm["carControl"].longActive
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v_cruise = min(sm["carState"].vCruise, V_CRUISE_MAX) * CV.KPH_TO_MS
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v_ego = max(sm["carState"].vEgo, 0)
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if long_control_active:
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self.frogpilot_acceleration.update(v_ego, sm, frogpilot_toggles)
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else:
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self.frogpilot_acceleration.max_accel = 0
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self.frogpilot_acceleration.min_accel = 0
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if long_control_active and frogpilot_toggles.conditional_experimental_mode:
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self.frogpilot_cem.update(v_ego, sm, frogpilot_toggles)
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else:
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self.frogpilot_cem.experimental_mode = False
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self.frogpilot_cem.stop_sign_and_light(v_ego, sm, PLANNER_TIME - 2)
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self.driving_in_curve = abs(self.lateral_acceleration) >= MINIMUM_LATERAL_ACCELERATION
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self.frogpilot_events.update(v_cruise, sm, frogpilot_toggles)
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self.frogpilot_following.update(long_control_active, v_ego, sm, frogpilot_toggles)
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gps_location = sm[self.gps_location_service]
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self.gps_position = {
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"latitude": gps_location.latitude,
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"longitude": gps_location.longitude,
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"bearing": gps_location.bearingDeg,
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}
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self.params_memory.put("LastGPSPosition", json.dumps(self.gps_position))
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self.lateral_acceleration = v_ego**2 * sm["controlsState"].curvature
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self.lateral_check |= sm["carState"].standstill
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self.model_length = sm["modelV2"].position.x[-1]
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self.model_stopped = self.model_length < CRUISING_SPEED * PLANNER_TIME
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self.road_curvature, self.time_to_curve = calculate_road_curvature(sm["modelV2"])
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self.road_curvature_detected = (1 / abs(self.road_curvature))**0.5 < v_ego > CRUISING_SPEED and not (sm["carState"].leftBlinker or sm["carState"].rightBlinker)
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if not sm["carState"].standstill:
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self.tracking_lead = self.update_lead_status()
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self.v_cruise = self.frogpilot_vcruise.update(long_control_active, now, time_validated, v_cruise, v_ego, sm, frogpilot_toggles)
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def update_lead_status(self):
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following_lead = self.lead_one.status
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following_lead &= self.lead_one.dRel < self.model_length + STOP_DISTANCE
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self.tracking_lead_filter.update(following_lead)
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return self.tracking_lead_filter.x >= THRESHOLD
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def publish(self, theme_updated, sm, pm, frogpilot_toggles):
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frogpilot_plan_send = messaging.new_message("frogpilotPlan")
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frogpilot_plan_send.valid = sm.all_checks(service_list=["carState", "controlsState", "selfdriveState", "radarState"])
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frogpilotPlan = frogpilot_plan_send.frogpilotPlan
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frogpilotPlan.accelerationJerk = float(A_CHANGE_COST * self.frogpilot_following.acceleration_jerk)
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frogpilotPlan.dangerFactor = float(self.frogpilot_following.danger_factor)
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frogpilotPlan.dangerJerk = float(DANGER_ZONE_COST * self.frogpilot_following.danger_jerk)
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frogpilotPlan.speedJerk = float(J_EGO_COST * self.frogpilot_following.speed_jerk)
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frogpilotPlan.tFollow = float(self.frogpilot_following.t_follow)
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frogpilotPlan.cscControllingSpeed = self.frogpilot_vcruise.csc_controlling_speed
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frogpilotPlan.cscSpeed = float(self.frogpilot_vcruise.csc_target)
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frogpilotPlan.cscTraining = self.frogpilot_vcruise.csc.enable_training
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frogpilotPlan.experimentalMode = self.frogpilot_cem.experimental_mode
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frogpilotPlan.frogpilotEvents = self.frogpilot_events.events.to_msg()
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frogpilotPlan.frogpilotToggles = json.dumps(vars(frogpilot_toggles))
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frogpilotPlan.lateralCheck = self.lateral_check
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frogpilotPlan.maxAcceleration = float(self.frogpilot_acceleration.max_accel)
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frogpilotPlan.minAcceleration = float(self.frogpilot_acceleration.min_accel)
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frogpilotPlan.redLight = self.frogpilot_cem.stop_light_detected
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frogpilotPlan.roadCurvature = self.road_curvature
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frogpilotPlan.themeUpdated = theme_updated
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frogpilotPlan.vCruise = float(self.v_cruise)
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pm.send("frogpilotPlan", frogpilot_plan_send)
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