Researchers have proposed a personalized longitudinal motion planning policy for intelligent vehicles that combines reinforcement learning with imitation learning. The approach is designed to reduce ...
Autonomous vehicle control and motion planning encompasses a diverse suite of methodologies that enable vehicles to navigate complex environments safely and efficiently. This rapidly evolving field ...
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