Instance-guided point cloud single object tracking with inception transformer
Single object tracking (SOT) in light detection and ranging (LiDAR) point clouds is a
challenging problem in computer vision. Compared to object-level point clouds, scene-level …
challenging problem in computer vision. Compared to object-level point clouds, scene-level …
Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer
S Xin, Z Zhang, M Wang, X Hou, Y Guo… - … on Robotics and …, 2024 - ieeexplore.ieee.org
Tracking a specific person in 3D scene is gaining momentum due to its numerous
applications in robotics. Currently, most 3D trackers focus on driving scenarios with …
applications in robotics. Currently, most 3D trackers focus on driving scenarios with …
EasyTrack: Efficient and Compact One-stream 3D Point Clouds Tracker
B Fan, W Zhou, K Wang, S Zhou, F Xu… - arXiv preprint arXiv …, 2024 - arxiv.org
Most of 3D single object trackers (SOT) in point clouds follow the two-stream multi-stage 3D
Siamese or motion tracking paradigms, which process the template and search area point …
Siamese or motion tracking paradigms, which process the template and search area point …
Spatio-Temporal Fusion: A Fusion Approach for Point Cloud Sparsity Problem
C Zhao, H Xu, H Xu, K Lai, M Cen - 2023 35th Chinese Control …, 2023 - ieeexplore.ieee.org
3D LiDAR point cloud target detection is one of the keys of robot and autonomous vehicle.
To low-beam LiDAR, missing detection is inevitable because of sparsity of the point cloud …
To low-beam LiDAR, missing detection is inevitable because of sparsity of the point cloud …