5 papers
MambaTrack3D: A State Space Model Framework for LiDAR-Based Object Tracking under High Temporal Variation
Shengjing Tian, Yinan Han, Xiantong Zhao +2
Dynamic outdoor environments with high temporal variation (HTV) pose significant challenges for 3D single object tracking in LiDAR point clouds. Existing memory-based trackers ofte…
Adversarial Attacks on LiDAR-Based Tracking Across Road Users: Robustness Evaluation and Target-Aware Black-Box Method
Shengjing Tian, Xiantong Zhao, Yuhao Bian +2
In this study, we delve into the robustness of neural network-based LiDAR point cloud tracking models under adversarial attacks, a critical aspect often overlooked in favor of perf…
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
Xiantong Zhao, Xiuping Liu, Shengjing Tian +1
3D single object tracking (3DSOT) in LiDAR point clouds is a critical task for outdoor perception, enabling real-time perception of object location, orientation, and motion. Despit…
OST: Efficient One-stream Network for 3D Single Object Tracking in Point Clouds
Xiantong Zhao, Yinan Han, Shengjing Tian +2
Although recent Siamese network-based trackers have achieved impressive perceptual accuracy for single object tracking in LiDAR point clouds, they usually utilized heavy correlatio…
Small Object Tracking in LiDAR Point Cloud: Learning the Target-awareness Prototype and Fine-grained Search Region
Shengjing Tian, Yinan Han, Xiuping Liu +1
Single Object Tracking in LiDAR point cloud is one of the most essential parts of environmental perception, in which small objects are inevitable in real-world scenarios and will b…