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45 lines
1.6 KiB
45 lines
1.6 KiB
#!/usr/bin/env python3
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import unittest
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import itertools
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from parameterized import parameterized_class
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from cereal import log
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from openpilot.selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import desired_follow_distance, get_T_FOLLOW
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from openpilot.selfdrive.test.longitudinal_maneuvers.maneuver import Maneuver
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def run_following_distance_simulation(v_lead, t_end=100.0, e2e=False, personality=0):
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man = Maneuver(
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'',
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duration=t_end,
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initial_speed=float(v_lead),
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lead_relevancy=True,
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initial_distance_lead=100,
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speed_lead_values=[v_lead],
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breakpoints=[0.],
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e2e=e2e,
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personality=personality,
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)
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valid, output = man.evaluate()
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assert valid
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return output[-1,2] - output[-1,1]
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@parameterized_class(("e2e", "personality", "speed"), itertools.product(
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[True, False], # e2e
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[log.LongitudinalPersonality.relaxed, # personality
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log.LongitudinalPersonality.standard,
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log.LongitudinalPersonality.aggressive],
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[0,10,35])) # speed
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class TestFollowingDistance(unittest.TestCase):
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def test_following_distance(self):
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v_lead = float(self.speed)
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simulation_steady_state = run_following_distance_simulation(v_lead, e2e=self.e2e, personality=self.personality)
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correct_steady_state = desired_follow_distance(v_lead, v_lead, get_T_FOLLOW(self.personality))
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err_ratio = 0.2 if self.e2e else 0.1
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self.assertAlmostEqual(simulation_steady_state, correct_steady_state, delta=(err_ratio * correct_steady_state + .5))
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if __name__ == "__main__":
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unittest.main()
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