Enable online lag learning (#34968)

* Use in modeld

* Use in torqued

* Do not use default value in torqued

* Add liveDelay in process replay

* update ref

---------

Co-authored-by: Bruce Wayne <harald.the.engineer@gmail.com>
This commit is contained in:
Kacper Rączy
2025-05-01 11:42:49 -07:00
committed by GitHub
parent 9f1e462faa
commit 45b273328d
4 changed files with 9 additions and 8 deletions
+4 -3
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@@ -52,7 +52,7 @@ class TorqueBuckets(PointBuckets):
class TorqueEstimator(ParameterEstimator):
def __init__(self, CP, decimated=False, track_all_points=False):
self.hist_len = int(HISTORY / DT_MDL)
self.lag = CP.steerActuatorDelay + .2 # from controlsd
self.lag = 0.0
self.track_all_points = track_all_points # for offline analysis, without max lateral accel or max steer torque filters
if decimated:
self.min_bucket_points = MIN_BUCKET_POINTS / 10
@@ -175,7 +175,8 @@ class TorqueEstimator(ParameterEstimator):
self.raw_points["steer_override"].append(msg.steeringPressed)
elif which == "liveCalibration":
self.calibrator.feed_live_calib(msg)
elif which == "liveDelay":
self.lag = msg.lateralDelay
# calculate lateral accel from past steering torque
elif which == "livePose":
if len(self.raw_points['steer_torque']) == self.hist_len:
@@ -241,7 +242,7 @@ def main(demo=False):
config_realtime_process([0, 1, 2, 3], 5)
pm = messaging.PubMaster(['liveTorqueParameters'])
sm = messaging.SubMaster(['carControl', 'carOutput', 'carState', 'liveCalibration', 'livePose'], poll='livePose')
sm = messaging.SubMaster(['carControl', 'carOutput', 'carState', 'liveCalibration', 'livePose', 'liveDelay'], poll='livePose')
params = Params()
estimator = TorqueEstimator(messaging.log_from_bytes(params.get("CarParams", block=True), car.CarParams))
+2 -2
View File
@@ -221,7 +221,7 @@ def main(demo=False):
# messaging
pm = PubMaster(["modelV2", "drivingModelData", "cameraOdometry"])
sm = SubMaster(["deviceState", "carState", "roadCameraState", "liveCalibration", "driverMonitoringState", "carControl"])
sm = SubMaster(["deviceState", "carState", "roadCameraState", "liveCalibration", "driverMonitoringState", "carControl", "liveDelay"])
publish_state = PublishState()
params = Params()
@@ -248,7 +248,6 @@ def main(demo=False):
# TODO this needs more thought, use .2s extra for now to estimate other delays
# TODO Move smooth seconds to action function
lat_delay = CP.steerActuatorDelay + .2 + LAT_SMOOTH_SECONDS
long_delay = CP.longitudinalActuatorDelay + LONG_SMOOTH_SECONDS
prev_action = log.ModelDataV2.Action()
@@ -292,6 +291,7 @@ def main(demo=False):
is_rhd = sm["driverMonitoringState"].isRHD
frame_id = sm["roadCameraState"].frameId
v_ego = max(sm["carState"].vEgo, 0.)
lat_delay = sm["liveDelay"].lateralDelay + LAT_SMOOTH_SECONDS
lateral_control_params = np.array([v_ego, lat_delay], dtype=np.float32)
if sm.updated["liveCalibration"] and sm.seen['roadCameraState'] and sm.seen['deviceState']:
device_from_calib_euler = np.array(sm["liveCalibration"].rpyCalib, dtype=np.float32)
@@ -568,7 +568,7 @@ CONFIGS = [
),
ProcessConfig(
proc_name="torqued",
pubs=["livePose", "liveCalibration", "carState", "carControl", "carOutput"],
pubs=["livePose", "liveCalibration", "liveDelay", "carState", "carControl", "carOutput"],
subs=["liveTorqueParameters"],
ignore=["logMonoTime"],
init_callback=get_car_params_callback,
@@ -577,7 +577,7 @@ CONFIGS = [
),
ProcessConfig(
proc_name="modeld",
pubs=["deviceState", "roadCameraState", "wideRoadCameraState", "liveCalibration", "driverMonitoringState", "carState", "carControl"],
pubs=["deviceState", "roadCameraState", "wideRoadCameraState", "liveCalibration", "liveDelay", "driverMonitoringState", "carState", "carControl"],
subs=["modelV2", "drivingModelData", "cameraOdometry"],
ignore=["logMonoTime", "modelV2.frameDropPerc", "modelV2.modelExecutionTime", "drivingModelData.frameDropPerc", "drivingModelData.modelExecutionTime"],
should_recv_callback=ModeldCameraSyncRcvCallback(),
+1 -1
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@@ -1 +1 @@
4c7ac1a362933af9d97697979162087c1ab2584b
7bf4ae5b92a3ad1f073f675e24e28babad0f2aa0