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458dd1a527
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@ -203,17 +203,17 @@ class LateralPlanner:
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if self.desire == log.LateralPlan.Desire.laneChangeRight or self.desire == log.LateralPlan.Desire.laneChangeLeft:
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self.LP.lll_prob *= self.lane_change_ll_prob
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self.LP.rll_prob *= self.lane_change_ll_prob
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if self.get_dlp_laneless_mode():
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if not self.get_dlp_laneless_mode():
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d_path_xyz = self.LP.get_d_path(v_ego, self.t_idxs, self.path_xyz)
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self.lat_mpc.set_weights(MPC_COST_LAT.PATH, MPC_COST_LAT.HEADING, self.steer_rate_cost)
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self.laneless_mode_is_e2e = True
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self.laneless_mode_is_e2e = False
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else:
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d_path_xyz = self.path_xyz
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path_cost = np.clip(abs(self.path_xyz[0, 1] / self.path_xyz_stds[0, 1]), 0.5, 1.5) * MPC_COST_LAT.PATH
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# Heading cost is useful at low speed, otherwise end of plan can be off-heading
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heading_cost = interp(v_ego, [5.0, 10.0], [MPC_COST_LAT.HEADING, 0.0])
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self.lat_mpc.set_weights(path_cost, heading_cost, self.steer_rate_cost)
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self.laneless_mode_is_e2e = False
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self.laneless_mode_is_e2e = True
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y_pts = np.interp(v_ego * self.t_idxs[:LAT_MPC_N + 1], np.linalg.norm(d_path_xyz, axis=1), d_path_xyz[:, 1])
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heading_pts = np.interp(v_ego * self.t_idxs[:LAT_MPC_N + 1], np.linalg.norm(self.path_xyz, axis=1), self.plan_yaw)
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self.y_pts = y_pts
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