May 10, 2024, 4:45 a.m. | Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun

cs.CV updates on arXiv.org arxiv.org

arXiv:2310.03525v3 Announce Type: replace
Abstract: Accurate perception is essential for advancing autonomous driving and addressing safety challenges in modern transportation systems. Despite significant advancements in computer vision for object recognition, current perception methods still face difficulties in complex real-world traffic environments. Challenges such as physical occlusion and limited sensor field of view persist for individual vehicle systems. Cooperative Perception (CP) with Vehicle-to-Everything (V2X) technologies has emerged as a solution to overcome these obstacles and enhance driving automation systems. While some …

abstract advances arxiv autonomous autonomous driving challenges computer computer vision cs.cv current driving environments face modern object perception recognition safety sensor systems traffic transportation type vision world

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