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* Revert "Revert "Enable online lag learning (#34968)" (#35322)"
This reverts commit 9c40c48729.
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@@ -52,7 +52,7 @@ class TorqueBuckets(PointBuckets):
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class TorqueEstimator(ParameterEstimator):
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def __init__(self, CP, decimated=False, track_all_points=False):
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self.hist_len = int(HISTORY / DT_MDL)
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self.lag = CP.steerActuatorDelay + .2 # from controlsd
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self.lag = 0.0
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self.track_all_points = track_all_points # for offline analysis, without max lateral accel or max steer torque filters
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if decimated:
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self.min_bucket_points = MIN_BUCKET_POINTS / 10
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@@ -175,7 +175,8 @@ class TorqueEstimator(ParameterEstimator):
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self.raw_points["steer_override"].append(msg.steeringPressed)
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elif which == "liveCalibration":
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self.calibrator.feed_live_calib(msg)
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elif which == "liveDelay":
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self.lag = msg.lateralDelay
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# calculate lateral accel from past steering torque
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elif which == "livePose":
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if len(self.raw_points['steer_torque']) == self.hist_len:
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@@ -241,7 +242,7 @@ def main(demo=False):
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config_realtime_process([0, 1, 2, 3], 5)
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pm = messaging.PubMaster(['liveTorqueParameters'])
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sm = messaging.SubMaster(['carControl', 'carOutput', 'carState', 'liveCalibration', 'livePose'], poll='livePose')
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sm = messaging.SubMaster(['carControl', 'carOutput', 'carState', 'liveCalibration', 'livePose', 'liveDelay'], poll='livePose')
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params = Params()
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estimator = TorqueEstimator(messaging.log_from_bytes(params.get("CarParams", block=True), car.CarParams))
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