Oct 22, 2021 · Our detector instead introduces a temporal fusion module of three frames in the stationary scenes to avoid the impairment of sparsity. The ...
3D Multi-object Detection and Tracking with Sparse Stationary LiDAR. Authors: Meng Zhang, Zhiyu Pan, ...
Mar 9, 2024 · Lidar. Chapter. 3D Multi-object Detection and Tracking with Sparse Stationary LiDAR. October 2021. October 2021. DOI:10.1007/978-3-030-88004-0_2.
3D Multi-object Detection and Tracking with Sparse Stationary LiDAR · 1.Buric, M., Ivasic-Kos, M., Pobar, M.: Player tracking in sports videos. · 2. · 3. · 4. · 5.
3D Multi-object Detection and Tracking with Sparse Stationary LiDAR. https ... 3D multi-object tracking with 2D–3D multi-feature learning. In: CVPR ...
Jul 21, 2022 · ... 3D Multi-Object Tracking mechanism where we can track ... objects with a good accuracy performance both for stationary and mobile lidar cases.
Apr 9, 2024 · ... stationary. Similar to our method, the two baselines use the ... Jia, “Voxelnext: Fully sparse voxelnet for 3d object detection and tracking ...
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Article "3D Multi-object Detection and Tracking with Sparse Stationary LiDAR" Detailed information of the J-GLOBAL is an information service managed by the ...
... stationary situation of the ego-vehicle (Testing Sequence 0010). In Figure 9, the tracking results obtained from the 3D LiDAR are projected onto the 2D ...
Jan 1, 2023 · In [12], the authors introduced a robust multiple object detection and tracking. (MODT) algorithm for a non-stationary base, using multiple. 3D ...
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