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Tomb raider 2 (#35029)
* db56b8fb-9135-4ab6-af18-99b7df7b2245/400 * fixes * linter unhappy * 6dbe0991-baa1-49ad-836a-ab370d1f0d92/400 * This one is good: 19387087-1005-475e-9015-9458dd8e7c5f/400 * Better every day: 39ed911c-0937-417f-97d2-58a8bb3caa53/400 * Actually end-to-end * typo * smooooooth: 94e23541-eb84-4fef-9f51-6a2d82aff314/360 * Revert "smooooooth: 94e23541-eb84-4fef-9f51-6a2d82aff314/360" This reverts commit edd4f02386d83d82dd8a188985cde80ed1646b7f. * 11632ef7-f555-489c-8480-e3bf97d9285e/400 * 08712d27-f6bd-4536-a30e-c729e5f62356/400 * 0a92a35e-1f72-476a-8cb6-c9f103f36822/400 * ee6d2394-2072-420c-a664-b4c0d4ed0b61/400 * no prev curv * No double work * fix bug * smooth * update prev action * whitespace * add little accel * new ref * Update plant.py
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@@ -89,14 +89,15 @@ class LongitudinalPlanner:
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return x, v, a, j, throttle_prob
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def update(self, sm):
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self.mpc.mode = 'blended' if sm['selfdriveState'].experimentalMode else 'acc'
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self.mpc.mode = 'acc'
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self.mode = 'blended' if sm['selfdriveState'].experimentalMode else 'acc'
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if len(sm['carControl'].orientationNED) == 3:
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accel_coast = get_coast_accel(sm['carControl'].orientationNED[1])
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else:
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accel_coast = ACCEL_MAX
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v_ego = sm['carState'].vEgo
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v_ego = sm['modelV2'].velocity.x[0]
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v_cruise_kph = min(sm['carState'].vCruise, V_CRUISE_MAX)
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v_cruise = v_cruise_kph * CV.KPH_TO_MS
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v_cruise_initialized = sm['carState'].vCruise != V_CRUISE_UNSET
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@@ -112,7 +113,7 @@ class LongitudinalPlanner:
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# No change cost when user is controlling the speed, or when standstill
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prev_accel_constraint = not (reset_state or sm['carState'].standstill)
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if self.mpc.mode == 'acc':
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if self.mode == 'acc':
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accel_clip = [ACCEL_MIN, get_max_accel(v_ego)]
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steer_angle_without_offset = sm['carState'].steeringAngleDeg - sm['liveParameters'].angleOffsetDeg
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accel_clip = limit_accel_in_turns(v_ego, steer_angle_without_offset, accel_clip, self.CP)
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@@ -128,7 +129,7 @@ class LongitudinalPlanner:
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self.v_desired_filter.x = max(0.0, self.v_desired_filter.update(v_ego))
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# Compute model v_ego error
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self.v_model_error = get_speed_error(sm['modelV2'], v_ego)
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x, v, a, j, throttle_prob = self.parse_model(sm['modelV2'], self.v_model_error)
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x, v, a, j, throttle_prob = self.parse_model(sm['modelV2'], 0)
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# Don't clip at low speeds since throttle_prob doesn't account for creep
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self.allow_throttle = throttle_prob > ALLOW_THROTTLE_THRESHOLD or v_ego <= MIN_ALLOW_THROTTLE_SPEED
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@@ -159,8 +160,17 @@ class LongitudinalPlanner:
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self.v_desired_filter.x = self.v_desired_filter.x + self.dt * (self.a_desired + a_prev) / 2.0
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action_t = self.CP.longitudinalActuatorDelay + DT_MDL
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output_a_target, self.output_should_stop = get_accel_from_plan(self.v_desired_trajectory, self.a_desired_trajectory, CONTROL_N_T_IDX,
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output_a_target_mpc, output_should_stop_mpc = get_accel_from_plan(self.v_desired_trajectory, self.a_desired_trajectory, CONTROL_N_T_IDX,
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action_t=action_t, vEgoStopping=self.CP.vEgoStopping)
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output_a_target_e2e = sm['modelV2'].action.desiredAcceleration
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output_should_stop_e2e = sm['modelV2'].action.shouldStop
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if self.mode == 'acc':
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output_a_target = output_a_target_mpc
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self.output_should_stop = output_should_stop_mpc
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else:
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output_a_target = min(output_a_target_mpc, output_a_target_e2e)
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self.output_should_stop = output_should_stop_e2e or output_should_stop_mpc
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for idx in range(2):
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accel_clip[idx] = np.clip(accel_clip[idx], self.prev_accel_clip[idx] - 0.05, self.prev_accel_clip[idx] + 0.05)
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