Cooperative Vehicle
Cooperative vehicle research focuses on improving the safety and efficiency of autonomous driving through inter-vehicle communication and coordination. Current efforts concentrate on developing robust algorithms for cooperative perception, localization, and control, often employing techniques like multi-agent reinforcement learning, factor graph optimization, and transformer-based models to handle complex scenarios and optimize various objectives such as maneuver planning and energy efficiency. These advancements aim to enhance autonomous vehicle capabilities in challenging environments, particularly in dense traffic situations, and contribute to the development of safer and more efficient transportation systems.
Papers
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