3D Single Object Tracking

3D single-object tracking involves the continuous tracking of a single object in three-dimensional space based on an initially provided 3D bounding box. This task primarily utilizes LiDAR point cloud data due to its ability to provide valuable depth information, which is a critical piece of data lacking in camera images. However, the irregular structure of point clouds and the sparsity of points that increases with distance pose significant technical challenges for LiDAR-based 3D single-object tracking. This technology has important application value and is widely used in fields such as autonomous driving, robot navigation, and augmented reality.