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ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving

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
Main:10 Pages
1 Figures
Bibliography:2 Pages
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.

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