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 python
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import numpy as np
import zmq
from cereal.services import service_list
from selfdrive.config import Conversions as CV
import cereal.messaging as messaging
if __name__ == "__main__":
live_map_sock = messaging.sub_sock(service_list['liveMapData'].port, conflate=True)
plan_sock = messaging.sub_sock(service_list['plan'].port, conflate=True)
plt.ion()
fig = plt.figure(figsize=(8, 16))
ax = fig.add_subplot(2, 1, 1)
ax.set_title('Map')
SCALE = 1000
ax.set_xlim([-SCALE, SCALE])
ax.set_ylim([-SCALE, SCALE])
ax.set_xlabel('x [m]')
ax.set_ylabel('y [m]')
ax.grid(True)
points_plt, = ax.plot([0.0], [0.0], "--xk")
cur, = ax.plot([0.0], [0.0], "xr")
speed_txt = ax.text(-500, 900, '')
curv_txt = ax.text(-500, 775, '')
ax = fig.add_subplot(2, 1, 2)
ax.set_title('Curvature')
curvature_plt, = ax.plot([0.0], [0.0], "--xk")
ax.set_xlim([0, 500])
ax.set_ylim([0, 1e-2])
ax.set_xlabel('Distance along path [m]')
ax.set_ylabel('Curvature [1/m]')
ax.grid(True)
plt.show()
while True:
m = messaging.recv_one_or_none(live_map_sock)
p = messaging.recv_one_or_none(plan_sock)
if p is not None:
v = p.plan.vCurvature * CV.MS_TO_MPH
speed_txt.set_text('Desired curvature speed: %.2f mph' % v)
if m is not None:
print("Current way id: %d" % m.liveMapData.wayId)
curv_txt.set_text('Curvature valid: %s Dist: %03.0f m\nSpeedlimit valid: %s Speed: %.0f mph' %
(str(m.liveMapData.curvatureValid),
m.liveMapData.distToTurn,
str(m.liveMapData.speedLimitValid),
m.liveMapData.speedLimit * CV.MS_TO_MPH))
points_plt.set_xdata(m.liveMapData.roadX)
points_plt.set_ydata(m.liveMapData.roadY)
curvature_plt.set_xdata(m.liveMapData.roadCurvatureX)
curvature_plt.set_ydata(m.liveMapData.roadCurvature)
fig.canvas.draw()
fig.canvas.flush_events()