carrot/selfdrive/controls/lib/drive_helpers.py

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import numpy as np
from cereal import log
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from openpilot.common.realtime import DT_CTRL, DT_MDL
from openpilot.selfdrive.modeld.constants import ModelConstants
import numpy as np
MIN_SPEED = 1.0
CONTROL_N = 17
CAR_ROTATION_RADIUS = 0.0
# This is a turn radius smaller than most cars can achieve
MAX_CURVATURE = 0.2
# EU guidelines
MAX_LATERAL_JERK = 5.0
MAX_VEL_ERR = 5.0
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def apply_deadzone(error, deadzone):
if error > deadzone:
error -= deadzone
elif error < - deadzone:
error += deadzone
else:
error = 0.
return error
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def get_lag_adjusted_curvature(CP, v_ego, psis, curvatures, steer_actuator_delay):
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if len(psis) != CONTROL_N:
psis = [0.0]*CONTROL_N
curvatures = [0.0]*CONTROL_N
v_ego = max(MIN_SPEED, v_ego)
# TODO this needs more thought, use .2s extra for now to estimate other delays
delay = max(0.01, steer_actuator_delay)
# MPC can plan to turn the wheel and turn back before t_delay. This means
# in high delay cases some corrections never even get commanded. So just use
# psi to calculate a simple linearization of desired curvature
current_curvature_desired = curvatures[0]
psi = np.interp(delay, ModelConstants.T_IDXS[:CONTROL_N], psis)
average_curvature_desired = psi / (v_ego * delay)
desired_curvature = 2 * average_curvature_desired - current_curvature_desired
# This is the "desired rate of the setpoint" not an actual desired rate
max_curvature_rate = MAX_LATERAL_JERK / (v_ego**2) # inexact calculation, check https://github.com/commaai/openpilot/pull/24755
safe_desired_curvature = np.clip(desired_curvature,
current_curvature_desired - max_curvature_rate * DT_MDL,
current_curvature_desired + max_curvature_rate * DT_MDL)
return safe_desired_curvature
def clip_curvature(v_ego, prev_curvature, new_curvature):
new_curvature = np.clip(new_curvature, -MAX_CURVATURE, MAX_CURVATURE)
v_ego = max(MIN_SPEED, v_ego)
max_curvature_rate = MAX_LATERAL_JERK / (v_ego**2) # inexact calculation, check https://github.com/commaai/openpilot/pull/24755
safe_desired_curvature = np.clip(new_curvature,
prev_curvature - max_curvature_rate * DT_CTRL,
prev_curvature + max_curvature_rate * DT_CTRL)
return safe_desired_curvature
def get_speed_error(modelV2: log.ModelDataV2, v_ego: float) -> float:
# ToDo: Try relative error, and absolute speed
if len(modelV2.temporalPose.trans):
vel_err = np.clip(modelV2.temporalPose.trans[0] - v_ego, -MAX_VEL_ERR, MAX_VEL_ERR)
return float(vel_err)
return 0.0