ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866908430442168320 |
|---|---|
| author | Chen, Kai Gao, Ruiyuan Hong, Lanqing Xu, Hang Jia, Xu Caesar, Holger Dai, Dengxin Liu, Bingbing Tsishkou, Dzmitry Xu, Songcen Xu, Chunjing Xu, Qiang Lu, Huchuan Yeung, Dit-Yan |
| author_facet | Chen, Kai Gao, Ruiyuan Hong, Lanqing Xu, Hang Jia, Xu Caesar, Holger Dai, Dengxin Liu, Bingbing Tsishkou, Dzmitry Xu, Songcen Xu, Chunjing Xu, Qiang Lu, Huchuan Yeung, Dit-Yan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_01735 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving Chen, Kai Gao, Ruiyuan Hong, Lanqing Xu, Hang Jia, Xu Caesar, Holger Dai, Dengxin Liu, Bingbing Tsishkou, Dzmitry Xu, Songcen Xu, Chunjing Xu, Qiang Lu, Huchuan Yeung, Dit-Yan Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning 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. |
| title | ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2507.01735 |