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3D Single Object Tracking

3D tracking of a single object, based on an initial 3D bounding box, provided to the tracker. 3D single object tracking is commonly performed using point cloud data from Lidars, as it provides valuable depth information, which is lost in camera images. However, irregular point cloud structure and an increasing point sparsity with distance makes Lidar-based 3D single object tracking a nontrivial task.

Papers

Showing 4143 of 43 papers

TitleStatusHype
3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud0
Box-Aware Feature Enhancement for Single Object Tracking on Point CloudsCode1
F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking0
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