June 5, 2024, 4:49 a.m. | Lijun Zhou, Tao Tang, Pengkun Hao, Zihang He, Kalok Ho, Shuo Gu, Wenbo Hou, Zhihui Hao, Haiyang Sun, Kun Zhan, Peng Jia, Xianpeng Lang, Xiaodan Liang

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.02147v1 Announce Type: new
Abstract: 3D multiple object tracking (MOT) plays a crucial role in autonomous driving perception. Recent end-to-end query-based trackers simultaneously detect and track objects, which have shown promising potential for the 3D MOT task. However, existing methods overlook the uncertainty issue, which refers to the lack of precise confidence about the state and location of tracked objects. Uncertainty arises owing to various factors during motion observation by cameras, especially occlusions and the small size of target objects, …

abstract arxiv autonomous autonomous driving confidence cs.cv driving however issue multi-object tracking multiple object objects perception potential query role tracking type uncertainty

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