Safe Overtaking

Safe overtaking, a crucial aspect of autonomous driving and robotics, aims to develop algorithms enabling vehicles to execute this maneuver efficiently and safely, minimizing collision risks while optimizing speed and efficiency. Current research focuses on developing advanced trajectory planning methods using reinforcement learning, Gaussian processes, and game-theoretic approaches, often incorporating safety layers and expert guidance to improve performance and robustness. These advancements are significant for enhancing the safety and efficiency of autonomous vehicles, impacting both the development of autonomous driving systems and the broader field of multi-agent robotics.