{"ID":2899211,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.01735","arxiv_id":"2507.01735","title":"ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving","abstract":"In this paper, we present details of the 1st W-CODA workshop, held in conjunction with the ECCV 2024. W-CODA aims to explore next-generation solutions for autonomous driving corner cases, empowered by state-of-the-art multimodal perception and comprehension techniques. 5 Speakers from both academia and industry are invited to share their latest progress and opinions. We collect research papers and hold a dual-track challenge, including both corner case scene understanding and generation. As the pioneering effort, we will continuously bridge the gap between frontier autonomous driving techniques and fully intelligent, reliable self-driving agents robust towards corner cases.","short_abstract":"In this paper, we present details of the 1st W-CODA workshop, held in conjunction with the ECCV 2024. W-CODA aims to explore next-generation solutions for autonomous driving corner cases, empowered by state-of-the-art multimodal perception and comprehension techniques. 5 Speakers from both academia and industry are inv...","url_abs":"https://arxiv.org/abs/2507.01735","url_pdf":"https://arxiv.org/pdf/2507.01735v1","authors":"[\"Kai Chen\",\"Ruiyuan Gao\",\"Lanqing Hong\",\"Hang Xu\",\"Xu Jia\",\"Holger Caesar\",\"Dengxin Dai\",\"Bingbing Liu\",\"Dzmitry Tsishkou\",\"Songcen Xu\",\"Chunjing Xu\",\"Qiang Xu\",\"Huchuan Lu\",\"Dit-Yan Yeung\"]","published":"2025-07-02T14:10:25Z","proceeding":"cs.CV","tasks":"[\"cs.CV\",\"cs.AI\",\"cs.CL\",\"cs.LG\"]","methods":"[]","has_code":false}