3D Multi Object Tracking

3D multi-object tracking is a crucial task in the field of computer vision, aiming to estimate the positions, orientations, and motion trajectories of multiple dynamic objects in three-dimensional space accurately and in real-time. This task enhances tracking precision and robustness by fusing data from multiple sensors, such as camera images and LiDAR point clouds. 3D multi-object tracking has significant application value in scenarios like autonomous driving, robotic navigation, and intelligent surveillance, significantly improving the perception capabilities and decision-making efficiency of systems.