HYBRID MOTION PLANNER FOR AUTONOMOUS VEHICLES
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United States of America
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Apr 10, 2025
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Oct 3, 2024
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Oct 3, 2024
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Systems and methods for a hybrid motion planner for autonomous vehicles. A multi-lane intelligent driver model (MIDM) can predict trajectory predictions from collected data by considering adjacent lanes of an ego vehicle. A multi-lane hybrid planning driver model (MPDM) can be trained using open-loop ground truth data and close-loop simulations to obtain a trained MPDM. The trained MPDM can predict planned trajectories with collected data and the trajectory predictions to generate final trajectories for the autonomous vehicles. The final trajectories can be employed to control the autonomous vehicles.
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