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135 lines
5.2 KiB
135 lines
5.2 KiB
import os
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import math
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import numpy as np
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# from common.numpy_fast import clip
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from common.realtime import sec_since_boot
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from selfdrive.swaglog import cloudlog
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from selfdrive.controls.lib.lateral_mpc import libmpc_py
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from selfdrive.controls.lib.drive_helpers import MPC_COST_LAT
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from selfdrive.controls.lib.lane_planner import LanePlanner
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import selfdrive.messaging as messaging
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LOG_MPC = os.environ.get('LOG_MPC', False)
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def calc_states_after_delay(states, v_ego, steer_angle, curvature_factor, steer_ratio, delay):
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states[0].x = v_ego * delay
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states[0].psi = v_ego * curvature_factor * math.radians(steer_angle) / steer_ratio * delay
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return states
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class PathPlanner(object):
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def __init__(self, CP):
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self.LP = LanePlanner()
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self.last_cloudlog_t = 0
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self.setup_mpc(CP.steerRateCost)
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self.solution_invalid_cnt = 0
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self.path_offset_i = 0.0
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def setup_mpc(self, steer_rate_cost):
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self.libmpc = libmpc_py.libmpc
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self.libmpc.init(MPC_COST_LAT.PATH, MPC_COST_LAT.LANE, MPC_COST_LAT.HEADING, steer_rate_cost)
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self.mpc_solution = libmpc_py.ffi.new("log_t *")
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self.cur_state = libmpc_py.ffi.new("state_t *")
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self.cur_state[0].x = 0.0
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self.cur_state[0].y = 0.0
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self.cur_state[0].psi = 0.0
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self.cur_state[0].delta = 0.0
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self.angle_steers_des = 0.0
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self.angle_steers_des_mpc = 0.0
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self.angle_steers_des_prev = 0.0
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self.angle_steers_des_time = 0.0
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def update(self, sm, pm, CP, VM):
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v_ego = sm['carState'].vEgo
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angle_steers = sm['carState'].steeringAngle
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active = sm['controlsState'].active
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angle_offset = sm['liveParameters'].angleOffset
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self.LP.update(v_ego, sm['model'])
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# Run MPC
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self.angle_steers_des_prev = self.angle_steers_des_mpc
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VM.update_params(sm['liveParameters'].stiffnessFactor, sm['liveParameters'].steerRatio)
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curvature_factor = VM.curvature_factor(v_ego)
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# TODO: Check for active, override, and saturation
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# if active:
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# self.path_offset_i += self.LP.d_poly[3] / (60.0 * 20.0)
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# self.path_offset_i = clip(self.path_offset_i, -0.5, 0.5)
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# self.LP.d_poly[3] += self.path_offset_i
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# else:
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# self.path_offset_i = 0.0
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# account for actuation delay
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self.cur_state = calc_states_after_delay(self.cur_state, v_ego, angle_steers - angle_offset, curvature_factor, VM.sR, CP.steerActuatorDelay)
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v_ego_mpc = max(v_ego, 5.0) # avoid mpc roughness due to low speed
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self.libmpc.run_mpc(self.cur_state, self.mpc_solution,
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list(self.LP.l_poly), list(self.LP.r_poly), list(self.LP.d_poly),
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self.LP.l_prob, self.LP.r_prob, curvature_factor, v_ego_mpc, self.LP.lane_width)
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# reset to current steer angle if not active or overriding
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if active:
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delta_desired = self.mpc_solution[0].delta[1]
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rate_desired = math.degrees(self.mpc_solution[0].rate[0] * VM.sR)
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else:
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delta_desired = math.radians(angle_steers - angle_offset) / VM.sR
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rate_desired = 0.0
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self.cur_state[0].delta = delta_desired
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self.angle_steers_des_mpc = float(math.degrees(delta_desired * VM.sR) + angle_offset)
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# Check for infeasable MPC solution
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mpc_nans = np.any(np.isnan(list(self.mpc_solution[0].delta)))
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t = sec_since_boot()
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if mpc_nans:
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self.libmpc.init(MPC_COST_LAT.PATH, MPC_COST_LAT.LANE, MPC_COST_LAT.HEADING, CP.steerRateCost)
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self.cur_state[0].delta = math.radians(angle_steers - angle_offset) / VM.sR
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if t > self.last_cloudlog_t + 5.0:
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self.last_cloudlog_t = t
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cloudlog.warning("Lateral mpc - nan: True")
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if self.mpc_solution[0].cost > 20000. or mpc_nans: # TODO: find a better way to detect when MPC did not converge
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self.solution_invalid_cnt += 1
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else:
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self.solution_invalid_cnt = 0
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plan_solution_valid = self.solution_invalid_cnt < 2
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plan_send = messaging.new_message()
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plan_send.init('pathPlan')
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plan_send.valid = sm.all_alive_and_valid(service_list=['carState', 'controlsState', 'liveParameters', 'model'])
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plan_send.pathPlan.laneWidth = float(self.LP.lane_width)
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plan_send.pathPlan.dPoly = [float(x) for x in self.LP.d_poly]
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plan_send.pathPlan.lPoly = [float(x) for x in self.LP.l_poly]
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plan_send.pathPlan.lProb = float(self.LP.l_prob)
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plan_send.pathPlan.rPoly = [float(x) for x in self.LP.r_poly]
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plan_send.pathPlan.rProb = float(self.LP.r_prob)
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plan_send.pathPlan.angleSteers = float(self.angle_steers_des_mpc)
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plan_send.pathPlan.rateSteers = float(rate_desired)
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plan_send.pathPlan.angleOffset = float(sm['liveParameters'].angleOffsetAverage)
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plan_send.pathPlan.mpcSolutionValid = bool(plan_solution_valid)
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plan_send.pathPlan.paramsValid = bool(sm['liveParameters'].valid)
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plan_send.pathPlan.sensorValid = bool(sm['liveParameters'].sensorValid)
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plan_send.pathPlan.posenetValid = bool(sm['liveParameters'].posenetValid)
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pm.send('pathPlan', plan_send)
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if LOG_MPC:
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dat = messaging.new_message()
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dat.init('liveMpc')
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dat.liveMpc.x = list(self.mpc_solution[0].x)
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dat.liveMpc.y = list(self.mpc_solution[0].y)
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dat.liveMpc.psi = list(self.mpc_solution[0].psi)
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dat.liveMpc.delta = list(self.mpc_solution[0].delta)
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dat.liveMpc.cost = self.mpc_solution[0].cost
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pm.send('liveMpc', dat)
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