You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
122 lines
4.5 KiB
122 lines
4.5 KiB
import zmq
|
|
import math
|
|
import numpy as np
|
|
|
|
from common.realtime import sec_since_boot
|
|
from selfdrive.services import service_list
|
|
from selfdrive.swaglog import cloudlog
|
|
from selfdrive.controls.lib.lateral_mpc import libmpc_py
|
|
from selfdrive.controls.lib.drive_helpers import MPC_COST_LAT
|
|
from selfdrive.controls.lib.model_parser import ModelParser
|
|
import selfdrive.messaging as messaging
|
|
|
|
|
|
def calc_states_after_delay(states, v_ego, steer_angle, curvature_factor, steer_ratio, delay):
|
|
states[0].x = v_ego * delay
|
|
states[0].psi = v_ego * curvature_factor * math.radians(steer_angle) / steer_ratio * delay
|
|
return states
|
|
|
|
|
|
class PathPlanner(object):
|
|
def __init__(self, CP):
|
|
self.MP = ModelParser()
|
|
|
|
self.last_cloudlog_t = 0
|
|
|
|
context = zmq.Context()
|
|
self.plan = messaging.pub_sock(context, service_list['pathPlan'].port)
|
|
self.livempc = messaging.pub_sock(context, service_list['liveMpc'].port)
|
|
|
|
self.setup_mpc(CP.steerRateCost)
|
|
self.invalid_counter = 0
|
|
|
|
def setup_mpc(self, steer_rate_cost):
|
|
self.libmpc = libmpc_py.libmpc
|
|
self.libmpc.init(MPC_COST_LAT.PATH, MPC_COST_LAT.LANE, MPC_COST_LAT.HEADING, steer_rate_cost)
|
|
|
|
self.mpc_solution = libmpc_py.ffi.new("log_t *")
|
|
self.cur_state = libmpc_py.ffi.new("state_t *")
|
|
self.cur_state[0].x = 0.0
|
|
self.cur_state[0].y = 0.0
|
|
self.cur_state[0].psi = 0.0
|
|
self.cur_state[0].delta = 0.0
|
|
|
|
self.angle_steers_des = 0.0
|
|
self.angle_steers_des_mpc = 0.0
|
|
self.angle_steers_des_prev = 0.0
|
|
self.angle_steers_des_time = 0.0
|
|
|
|
def update(self, CP, VM, CS, md, live100):
|
|
v_ego = CS.carState.vEgo
|
|
angle_steers = CS.carState.steeringAngle
|
|
active = live100.live100.active
|
|
angle_offset = live100.live100.angleOffset
|
|
self.MP.update(v_ego, md)
|
|
|
|
# Run MPC
|
|
self.angle_steers_des_prev = self.angle_steers_des_mpc
|
|
curvature_factor = VM.curvature_factor(v_ego)
|
|
|
|
l_poly = libmpc_py.ffi.new("double[4]", list(self.MP.l_poly))
|
|
r_poly = libmpc_py.ffi.new("double[4]", list(self.MP.r_poly))
|
|
p_poly = libmpc_py.ffi.new("double[4]", list(self.MP.p_poly))
|
|
|
|
# account for actuation delay
|
|
self.cur_state = calc_states_after_delay(self.cur_state, v_ego, angle_steers, curvature_factor, CP.steerRatio, CP.steerActuatorDelay)
|
|
|
|
v_ego_mpc = max(v_ego, 5.0) # avoid mpc roughness due to low speed
|
|
self.libmpc.run_mpc(self.cur_state, self.mpc_solution,
|
|
l_poly, r_poly, p_poly,
|
|
self.MP.l_prob, self.MP.r_prob, self.MP.p_prob, curvature_factor, v_ego_mpc, self.MP.lane_width)
|
|
|
|
# reset to current steer angle if not active or overriding
|
|
if active:
|
|
delta_desired = self.mpc_solution[0].delta[1]
|
|
else:
|
|
delta_desired = math.radians(angle_steers - angle_offset) / CP.steerRatio
|
|
|
|
self.cur_state[0].delta = delta_desired
|
|
|
|
self.angle_steers_des_mpc = float(math.degrees(delta_desired * CP.steerRatio) + angle_offset)
|
|
|
|
# Check for infeasable MPC solution
|
|
mpc_nans = np.any(np.isnan(list(self.mpc_solution[0].delta)))
|
|
t = sec_since_boot()
|
|
if mpc_nans:
|
|
self.libmpc.init(MPC_COST_LAT.PATH, MPC_COST_LAT.LANE, MPC_COST_LAT.HEADING, CP.steerRateCost)
|
|
self.cur_state[0].delta = math.radians(angle_steers) / CP.steerRatio
|
|
|
|
if t > self.last_cloudlog_t + 5.0:
|
|
self.last_cloudlog_t = t
|
|
cloudlog.warning("Lateral mpc - nan: True")
|
|
|
|
if self.mpc_solution[0].cost > 20000. or mpc_nans: # TODO: find a better way to detect when MPC did not converge
|
|
self.invalid_counter += 1
|
|
else:
|
|
self.invalid_counter = 0
|
|
|
|
plan_valid = self.invalid_counter < 2
|
|
|
|
plan_send = messaging.new_message()
|
|
plan_send.init('pathPlan')
|
|
plan_send.pathPlan.laneWidth = float(self.MP.lane_width)
|
|
plan_send.pathPlan.dPoly = map(float, self.MP.d_poly)
|
|
plan_send.pathPlan.cPoly = map(float, self.MP.c_poly)
|
|
plan_send.pathPlan.cProb = float(self.MP.c_prob)
|
|
plan_send.pathPlan.lPoly = map(float, l_poly)
|
|
plan_send.pathPlan.lProb = float(self.MP.l_prob)
|
|
plan_send.pathPlan.rPoly = map(float, r_poly)
|
|
plan_send.pathPlan.rProb = float(self.MP.r_prob)
|
|
plan_send.pathPlan.angleSteers = float(self.angle_steers_des_mpc)
|
|
plan_send.pathPlan.valid = bool(plan_valid)
|
|
|
|
self.plan.send(plan_send.to_bytes())
|
|
|
|
dat = messaging.new_message()
|
|
dat.init('liveMpc')
|
|
dat.liveMpc.x = list(self.mpc_solution[0].x)
|
|
dat.liveMpc.y = list(self.mpc_solution[0].y)
|
|
dat.liveMpc.psi = list(self.mpc_solution[0].psi)
|
|
dat.liveMpc.delta = list(self.mpc_solution[0].delta)
|
|
dat.liveMpc.cost = self.mpc_solution[0].cost
|
|
self.livempc.send(dat.to_bytes())
|
|
|