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V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception
March 26, 2024, 4:47 a.m. | Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma
cs.CV updates on arXiv.org arxiv.org
Abstract: Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled autonomous vehicles to share sensing information to see through occlusions, greatly boosting the perception capability. However, there are no real-world datasets to facilitate the real V2X cooperative perception research -- existing datasets either only support Vehicle-to-Infrastructure cooperation or Vehicle-to-Vehicle cooperation. In this paper, we propose a dataset that has a mixture of multiple vehicles and smart infrastructure simultaneously to facilitate the V2X cooperative perception development with multi-modality …
abstract arxiv autonomous autonomous vehicles boosting capability cs.cv dataset datasets everything however information infrastructure perception research scale sensing support technologies through type vehicles world
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