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firestar5683
3ecc94938b
Revert "New Lateral Changes" This reverts commit 33da93ba70e7aafd8ebb171c1347d8a2a6e363f6. Reapply "New Lateral Changes" This reverts commit ce56770c167a032867d3e885a3bcea11cb455624. Update neural_network_feedforward.py
33 lines
1.2 KiB
Python
33 lines
1.2 KiB
Python
import numpy as np
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from abc import abstractmethod, ABC
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MIN_LATERAL_CONTROL_SPEED = 0.3 # m/s
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class LatControl(ABC):
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def __init__(self, CP, CI, dt):
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self.dt = dt
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self.sat_count_rate = 1.0 * self.dt
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self.sat_limit = CP.steerLimitTimer
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self.sat_count = 0.
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self.sat_check_min_speed = 10.
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# we define the steer torque scale as [-1.0...1.0]
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self.steer_max = 1.0
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@abstractmethod
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def update(self, active: bool, CS, VM, params, steer_limited_by_safety: bool, desired_curvature: float, curvature_limited: bool, lat_delay: float, llk, model_data, frogpilot_toggles):
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pass
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def reset(self):
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self.sat_count = 0.
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def _check_saturation(self, saturated, CS, steer_limited_by_safety, curvature_limited):
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# Saturated only if control output is not being limited by car torque/angle rate limits
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if (saturated or curvature_limited) and CS.vEgo > self.sat_check_min_speed and not steer_limited_by_safety and not CS.steeringPressed:
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self.sat_count += self.sat_count_rate
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else:
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self.sat_count -= self.sat_count_rate
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self.sat_count = np.clip(self.sat_count, 0.0, self.sat_limit)
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return self.sat_count > (self.sat_limit - 1e-3)
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