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.
View on arXiv@article{chen2025_2507.01735,
title={ ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving },
author={ Kai Chen and Ruiyuan Gao and Lanqing Hong and Hang Xu and Xu Jia and Holger Caesar and Dengxin Dai and Bingbing Liu and Dzmitry Tsishkou and Songcen Xu and Chunjing Xu and Qiang Xu and Huchuan Lu and Dit-Yan Yeung },
journal={arXiv preprint arXiv:2507.01735},
year={ 2025 }
}