Single LiDAR

Single LiDAR systems are increasingly used for 3D scene understanding, aiming to overcome limitations of sparse data and achieve robust performance in challenging environments. Current research focuses on developing novel algorithms, including diffusion models for scene completion, neural radiance fields for single-view 3D reconstruction, and autoregressive models for real-time motion capture, often incorporating data fusion with other sensors like cameras. These advancements are driving progress in applications such as autonomous driving, robotics, and human-computer interaction, enabling more accurate and efficient perception and interaction with the environment.