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

TL;DR

The W-CODA workshop at ECCV 2024 focuses on advancing multimodal perception techniques to better understand and handle corner cases in autonomous driving, aiming to improve reliability and safety.

Contribution

This is the first workshop dedicated to exploring multimodal perception and comprehension of corner cases in autonomous driving, including research collection and a dual-track challenge.

Findings

Introduction of a new workshop dedicated to corner cases in autonomous driving.

Collection of research papers and a challenge to advance scene understanding and generation.

Bridging the gap between current autonomous driving tech and robust corner case handling.

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.