openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 200 supported car makes and models.
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#!/usr/bin/env python3
import matplotlib
matplotlib.use('TkAgg')
import sys
import cereal.messaging as messaging
import numpy as np
import matplotlib.pyplot as plt
# debug liateral MPC by plotting its trajectory. To receive liveLongitudinalMpc packets,
# set on LOG_MPC env variable and run plannerd on a replay
def mpc_vwr_thread(addr="127.0.0.1"):
plt.ion()
fig = plt.figure(figsize=(15, 20))
ax = fig.add_subplot(131)
aa = fig.add_subplot(132, sharey=ax)
ap = fig.add_subplot(133, sharey=ax)
ax.set_xlim([-10, 10])
ax.set_ylim([0., 100.])
aa.set_xlim([-20., 20])
ap.set_xlim([-5, 5])
ax.set_xlabel('x [m]')
ax.set_ylabel('y [m]')
aa.set_xlabel('steer_angle [deg]')
ap.set_xlabel('asset angle [deg]')
ax.grid(True)
aa.grid(True)
ap.grid(True)
path_x = np.arange(0, 100)
mpc_path_x = np.arange(0, 49)
p_path_y = np.zeros(100)
l_path_y = np.zeros(100)
r_path_y = np.zeros(100)
mpc_path_y = np.zeros(49)
mpc_steer_angle = np.zeros(49)
mpc_psi = np.zeros(49)
line1, = ax.plot(mpc_path_y, mpc_path_x)
# line1b, = ax.plot(mpc_path_y, mpc_path_x, 'o')
lineP, = ax.plot(p_path_y, path_x)
lineL, = ax.plot(l_path_y, path_x)
lineR, = ax.plot(r_path_y, path_x)
line3, = aa.plot(mpc_steer_angle, mpc_path_x)
line4, = ap.plot(mpc_psi, mpc_path_x)
ax.invert_xaxis()
aa.invert_xaxis()
plt.show()
# *** log ***
livempc = messaging.sub_sock('liveMpc', addr=addr)
model = messaging.sub_sock('model', addr=addr)
path_plan_sock = messaging.sub_sock('pathPlan', addr=addr)
while 1:
lMpc = messaging.recv_sock(livempc, wait=True)
md = messaging.recv_sock(model)
pp = messaging.recv_sock(path_plan_sock)
if md is not None:
p_poly = np.array(md.model.path.poly)
l_poly = np.array(md.model.leftLane.poly)
r_poly = np.array(md.model.rightLane.poly)
p_path_y = np.polyval(p_poly, path_x)
l_path_y = np.polyval(r_poly, path_x)
r_path_y = np.polyval(l_poly, path_x)
if pp is not None:
p_path_y = np.polyval(pp.pathPlan.dPoly, path_x)
lineP.set_xdata(p_path_y)
lineP.set_ydata(path_x)
if lMpc is not None:
mpc_path_x = list(lMpc.liveMpc.x)[1:]
mpc_path_y = list(lMpc.liveMpc.y)[1:]
mpc_steer_angle = list(lMpc.liveMpc.delta)[1:]
mpc_psi = list(lMpc.liveMpc.psi)[1:]
line1.set_xdata(mpc_path_y)
line1.set_ydata(mpc_path_x)
lineL.set_xdata(l_path_y)
lineL.set_ydata(path_x)
lineR.set_xdata(r_path_y)
lineR.set_ydata(path_x)
line3.set_xdata(np.asarray(mpc_steer_angle)*180./np.pi * 14)
line3.set_ydata(mpc_path_x)
line4.set_xdata(np.asarray(mpc_psi)*180./np.pi)
line4.set_ydata(mpc_path_x)
aa.relim()
aa.autoscale_view(True, scaley=True, scalex=True)
fig.canvas.draw()
fig.canvas.flush_events()
if __name__ == "__main__":
if len(sys.argv) > 1:
mpc_vwr_thread(sys.argv[1])
else:
mpc_vwr_thread()