carrot/selfdrive/controls/lib/drive_helpers.py
Vehicle Researcher 8eb8330d95 openpilot v0.9.9 release
date: 2025-03-08T09:09:29
master commit: ce355250be726f9bc8f0ac165a6cde41586a983d
2025-03-08 09:09:31 +00:00

46 lines
1.7 KiB
Python

import numpy as np
from cereal import log
from opendbc.car.vehicle_model import ACCELERATION_DUE_TO_GRAVITY
from openpilot.common.realtime import DT_CTRL
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
MAX_VEL_ERR = 5.0 # m/s
# EU guidelines
MAX_LATERAL_JERK = 5.0 # m/s^3
MAX_LATERAL_ACCEL_NO_ROLL = 3.0 # m/s^2
def clamp(val, min_val, max_val):
clamped_val = float(np.clip(val, min_val, max_val))
return clamped_val, clamped_val != val
def clip_curvature(v_ego, prev_curvature, new_curvature, roll):
# This function respects ISO lateral jerk and acceleration limits + a max curvature
v_ego = max(v_ego, MIN_SPEED)
max_curvature_rate = MAX_LATERAL_JERK / (v_ego ** 2) # inexact calculation, check https://github.com/commaai/openpilot/pull/24755
new_curvature = np.clip(new_curvature,
prev_curvature - max_curvature_rate * DT_CTRL,
prev_curvature + max_curvature_rate * DT_CTRL)
roll_compensation = roll * ACCELERATION_DUE_TO_GRAVITY
max_lat_accel = MAX_LATERAL_ACCEL_NO_ROLL + roll_compensation
min_lat_accel = -MAX_LATERAL_ACCEL_NO_ROLL + roll_compensation
new_curvature, limited_accel = clamp(new_curvature, min_lat_accel / v_ego ** 2, max_lat_accel / v_ego ** 2)
new_curvature, limited_max_curv = clamp(new_curvature, -MAX_CURVATURE, MAX_CURVATURE)
return float(new_curvature), limited_accel or limited_max_curv
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