LiDAR Equipped

LiDAR-equipped systems are revolutionizing robotics and autonomous driving by providing rich 3D environmental data. Current research focuses on improving the robustness and efficiency of LiDAR data processing, including developing advanced algorithms for obstacle avoidance (e.g., using dynamic control barrier functions and Kalman filtering), addressing inherent limitations like perspective errors in scan matching, and enhancing the reliability of LiDAR-based perception in the face of adversarial attacks. These advancements are crucial for enabling safe and reliable autonomous navigation in complex, dynamic environments, with applications ranging from mobile robots to self-driving vehicles and collaborative multi-robot systems.