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 unittest
import numpy as np
from common.params import Params
from selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import desired_follow_distance
from selfdrive.test.longitudinal_maneuvers.maneuver import Maneuver
def run_following_distance_simulation(v_lead, t_end=100.0, e2e=False):
man = Maneuver(
'',
duration=t_end,
initial_speed=float(v_lead),
lead_relevancy=True,
initial_distance_lead=100,
speed_lead_values=[v_lead],
breakpoints=[0.],
e2e=e2e
)
valid, output = man.evaluate()
assert valid
return output[-1,2] - output[-1,1]
class TestFollowingDistance(unittest.TestCase):
def test_following_distance(self):
params = Params()
for e2e in [False, True]:
params.put_bool("ExperimentalMode", e2e)
for speed in np.arange(0, 40, 5):
print(f'Testing {speed} m/s')
v_lead = float(speed)
simulation_steady_state = run_following_distance_simulation(v_lead)
correct_steady_state = desired_follow_distance(v_lead, v_lead)
err_ratio = 0.2 if e2e else 0.1
self.assertAlmostEqual(simulation_steady_state, correct_steady_state, delta=(err_ratio * correct_steady_state + .5))
if __name__ == "__main__":
unittest.main()