LiDAR Measurement

LiDAR measurement focuses on accurately capturing and interpreting three-dimensional spatial information from laser-based rangefinding. Current research emphasizes improving robustness and efficiency in various applications, including autonomous navigation and 3D mapping, by addressing challenges like sensor noise, adverse weather conditions, and reflections. This involves developing advanced algorithms for data processing, such as those employing deep learning for semantic segmentation and occupancy grid mapping, and optimizing data structures like implicit neural representations for large-scale mapping. The resulting improvements in accuracy and efficiency have significant implications for robotics, autonomous driving, and other fields requiring precise 3D environmental understanding.