April 12, 2024, 4:45 a.m. | Weisheng Xu, Sifan Zhou, Zhihang Yuan

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.07495v1 Announce Type: new
Abstract: LiDAR-based 3D single object tracking (3D SOT) is a critical issue in robotics and autonomous driving. It aims to obtain accurate 3D BBox from the search area based on similarity or motion. However, existing 3D SOT methods usually follow the point-based pipeline, where the sampling operation inevitably leads to redundant or lost information, resulting in unexpected performance. To address these issues, we propose PillarTrack, a pillar-based 3D single object tracking framework. Firstly, we transform sparse …

arxiv cs.cv network object tracking transformer transformer network type

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