LiDAR Pose

LiDAR pose estimation focuses on accurately determining the position and orientation of a LiDAR sensor over time or relative to other sensors. Current research emphasizes developing robust and efficient algorithms, often employing deep learning architectures like transformers and graph neural networks, to improve accuracy and reduce computational cost, particularly for large-scale mapping and multi-sensor fusion. These advancements are crucial for autonomous navigation, 3D scene reconstruction, and other applications requiring precise spatial understanding, driving improvements in accuracy, consistency, and real-time performance.