Web: http://arxiv.org/abs/2209.08323

Sept. 20, 2022, 1:12 a.m. | Zhuyun Zhou, Zongwei Wu, Rémi Boutteau, Fan Yang, Cédric Demonceaux, Dominique Ginhac

cs.CV updates on arXiv.org arxiv.org

Moving Object Detection (MOD) is a critical vision task for successfully
achieving safe autonomous driving. Despite plausible results of deep learning
methods, most existing approaches are only frame-based and may fail to reach
reasonable performance when dealing with dynamic traffic participants. Recent
advances in sensor technologies, especially the Event camera, can naturally
complement the conventional camera approach to better model moving objects.
However, event-based works often adopt a pre-defined time window for event
representation, and simply integrate it to estimate …

arxiv autonomous autonomous driving detection driving event fusion moving

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