Files
clearpilot/selfdrive/controls/plannerd.py
T
brianhansonxyz cea422b075 locationd: ignore GPS as Kalman input; expand park-cached-output to onroad consumers
locationd: ignore gpsLocation observations entirely (clearpilot_disable_gps
const at the top of handle_gps; falls through to determine_gps_mode's
no-GPS path). gpsd.py keeps publishing real GPS for UI / dashcam / clock
/ night-mode — only locationd ignores it. The previous gpsd.py path was
hard-coding vNED=[0,0,0] while the car was moving 28 m/s, feeding the
Kalman contradictory GPS-vs-IMU velocity observations that propagated into
latcontrol_torque through liveLocationKalman.angularVelocityCalibrated and
caused a real "drift right on straight roads" symptom.

controlsd: short-circuit state_control() while parked. Skips LaC/LoC PID,
MPC, model_v2 reads, lane-change logic — all wasted work when the car
isn't moving. Returns the same enabled=False/latActive=False/longActive=False
CC the original code would have produced, so publish_logs runs unchanged
and card.controls_update keeps the sendcan / tester-present heartbeat
flowing at 100Hz. controlsd CPU dropped from ~59% to ~3% in park.

controlsd: also wire self.FPCC.noLatLaneChange = True/False in the
existing lane-change suppression branch. The Hyundai carcontroller already
reads off frogpilot_variables.no_lat_lane_change for the no-steer signal,
but the UI's distinctive yellow CHANGE_LANE_PATH_COLOR (onroad.cc:901)
reads from frogpilotCarControl.NoLatLaneChange — which nobody was setting,
so the yellow line never appeared during lane-change suppression.

plannerd: skip longitudinal_planner.update + publish + publish_ui_plan
while parked. Downstream controlsd already short-circuits in park, so
longitudinalPlan / uiPlan staleness is fine.

frogpilot_process: same idea — skip frogpilot_planner.update + publish
while parked.

dmonitoringmodeld: mirror the cached-output trick from modeld. Add carState
to the SubMaster, cache the last (model_output, dsp_execution_time) tuple,
and serve it on every frame while gear is in park instead of running DSP
inference on the driver camera.

Together with the existing modeld park-cached-output, the heavy onroad
processing pipeline (modeld → plannerd → controlsd → carcontroller) now
all idles in park and only fires when the car leaves park.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 12:12:38 -05:00

51 lines
1.9 KiB
Python
Executable File

#!/usr/bin/env python3
from cereal import car
from openpilot.common.params import Params
from openpilot.common.realtime import Priority, config_realtime_process
from openpilot.common.swaglog import cloudlog
from openpilot.selfdrive.controls.lib.longitudinal_planner import LongitudinalPlanner
import cereal.messaging as messaging
def publish_ui_plan(sm, pm, longitudinal_planner):
ui_send = messaging.new_message('uiPlan')
ui_send.valid = sm.all_checks(service_list=['carState', 'controlsState', 'modelV2'])
uiPlan = ui_send.uiPlan
uiPlan.frameId = sm['modelV2'].frameId
uiPlan.position.x = list(sm['modelV2'].position.x)
uiPlan.position.y = list(sm['modelV2'].position.y)
uiPlan.position.z = list(sm['modelV2'].position.z)
uiPlan.accel = longitudinal_planner.a_desired_trajectory_full.tolist()
pm.send('uiPlan', ui_send)
def plannerd_thread():
config_realtime_process(5, Priority.CTRL_LOW)
cloudlog.info("plannerd is waiting for CarParams")
params = Params()
with car.CarParams.from_bytes(params.get("CarParams", block=True)) as msg:
CP = msg
cloudlog.info("plannerd got CarParams: %s", CP.carName)
longitudinal_planner = LongitudinalPlanner(CP)
pm = messaging.PubMaster(['longitudinalPlan', 'uiPlan'])
sm = messaging.SubMaster(['carControl', 'carState', 'controlsState', 'radarState', 'modelV2', 'frogpilotCarControl', 'frogpilotPlan'],
poll='modelV2', ignore_avg_freq=['radarState'])
while True:
sm.update()
if sm.updated['modelV2']:
# CLEARPILOT: skip planning while parked. The downstream consumer (controlsd)
# already short-circuits in park, so longitudinalPlan/uiPlan staleness is fine.
if sm['carState'].gearShifter == car.CarState.GearShifter.park:
continue
longitudinal_planner.update(sm)
longitudinal_planner.publish(sm, pm)
publish_ui_plan(sm, pm, longitudinal_planner)
def main():
plannerd_thread()
if __name__ == "__main__":
main()