3D Place Recognition

3D place recognition aims to enable robots and autonomous systems to reliably identify previously visited locations using 3D sensor data, primarily LiDAR point clouds. Current research focuses on improving robustness to viewpoint changes, computational efficiency (e.g., through transformer-based re-ranking), and handling diverse data sources (e.g., aerial and ground LiDAR). These advancements are crucial for enhancing the reliability and scalability of autonomous navigation in complex environments, impacting fields like robotics, autonomous driving, and large-scale mapping.