ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving
This workshop addresses corner cases in autonomous driving for researchers and practitioners, but it is an incremental effort as it builds on existing multimodal techniques.
The paper details the 1st W-CODA workshop at ECCV 2024, which tackled the problem of autonomous driving corner cases by exploring multimodal perception and comprehension solutions, resulting in a dual-track challenge and collection of research papers to bridge the gap toward reliable self-driving agents.
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.