June 11, 2024, 4:51 a.m. | Yining Shi, Kun Jiang, Jiusi Li, Zelin Qian, Junze Wen, Mengmeng Yang, Ke Wang, Diange Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2303.01212v2 Announce Type: replace
Abstract: Grid-centric perception is a crucial field for mobile robot perception and navigation. Nonetheless, grid-centric perception is less prevalent than object-centric perception as autonomous vehicles need to accurately perceive highly dynamic, large-scale traffic scenarios and the complexity and computational costs of grid-centric perception are high. In recent years, the rapid development of deep learning techniques and hardware provides fresh insights into the evolution of grid-centric perception. The fundamental difference between grid-centric and object-centric pipeline lies in …

abstract arxiv autonomous autonomous driving autonomous vehicles complexity computational costs cs.cv cs.ro driving dynamic grid mobile navigation object perception replace review robot robot perception scale traffic type vehicles

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