3 accepted papers
Sparse point-based trackers struggle with textureless and incomplete point clouds. Conversely, dense voxel-based trackers have richer spatial and semantic information, but how to filter out interference from complex backgrounds remains a challenge. Besides, there is still a gap between point and vox
3D single object tracking based on point clouds is a key challenge in robotics and autonomous driving technology. Mainstream methods rely on point clouds for geometric matching or motion estimation between the target template and the search area. However, the lack of texture and the sparsity of inco
Sparse point-based trackers struggle with texture-less and incomplete point clouds. Conversely, dense voxel-based trackers have richer spatial and semantic information, but filtering out interference from complex backgrounds remains a challenge. Additionally, there is still a gap between point and v