mirror of
https://github.com/MoreTore/openpilot.git
synced 2026-10-01 03:43:51 +08:00
HaraldSchafer
2b470f4e38
* rebased
* cleaner, seems to drive better?
* more stable
* wrong import
* new way of thinking
* reports look nice
* start move back
* works at leas
* good timestamps
* step by step
* somewhat work
* tests pass
* ALL CARS STOPPED
* should work
* fake a cruise obstacle
* cleaner costs
* pretty good except cruise braking
* works pretty well now!
* cleanup
* add source
* add source
* that is needed for unit tests
* nan recovery
* little cleaner
* stop wasting arrays
* unreasonable without unfair init
* this isnt needed without the exponential
* that works too
* unused
* uses less
* new ref
* long enough
* e2e long api
* DONT PUT IN A VIEW INTO ACADOS
* new ref for outside weights
* remove debug prints
old-commit-hash: fe983a7b8c
37 lines
1.0 KiB
Python
37 lines
1.0 KiB
Python
#!/usr/bin/env python3
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import unittest
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import numpy as np
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from selfdrive.controls.lib.longitudinal_mpc_lib.long_mpc import desired_follow_distance
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from selfdrive.test.longitudinal_maneuvers.maneuver import Maneuver
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def run_following_distance_simulation(v_lead, t_end=100.0):
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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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)
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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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class TestFollowingDistance(unittest.TestCase):
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def test_following_distanc(self):
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for speed in np.arange(0, 40, 5):
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print(f'Testing {speed} m/s')
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v_lead = float(speed)
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simulation_steady_state = run_following_distance_simulation(v_lead)
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correct_steady_state = desired_follow_distance(v_lead, v_lead)
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self.assertAlmostEqual(simulation_steady_state, correct_steady_state, delta=(correct_steady_state*.1 + .3))
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if __name__ == "__main__":
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unittest.main()
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