- The Workshop on Autonomous Driving (WAD) was held on Monday, June 20, 2022, in conjunction with the 2022 Conference on Computer Vision and Pattern Recognition (CVPR’22) in New Orleans, LA. We thank everyone, including our co-organizers, invited speakers and authors for their contributions to this workshop!
- Organizers: Henrik Kretzschmar (Waymo), Alexander Liniger (Huawei Zurich), Jose M. Alvarez (NVIDIA), Yan Wang (Waymo), Vincent Casser (Waymo), Fisher Yu (ETH Zurich), Marco Pavone (Stanford University, NVIDIA), Bo Li (UIUC), Andreas Geiger (University of Tübingen), Peter Ondruska, Blazej Osinki (Woven Planet), Li Erran Li (Amazon), Dragomir Anguelov (Waymo), John Leonard (MIT) and Luc van Gool (ETH Zurich, KU Leuven).
The CVPR 2022 Workshop on Autonomous Driving (WAD) aims to gather researchers and engineers from academia and industry to discuss the latest advances in perception for autonomous driving. In this one-day workshop, we will have regular paper presentations, invited speakers, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for computer vision in autonomous driving, arguably the most promising application of computer vision and AI in general. The previous chapters of the workshop at CVPR attracted hundreds of researchers to attend. This year, multiple industry sponsors also join our organizing efforts to push its success to a new level.
- Raquel Urtasun (University of Toronto / Waabi)
- Alex Kendall (Wayve)
- Yuning Chai (Cruise)
- Matthew Johnson-Roberson (CMU)
- Sergey Levine (UC Berkeley)
- Ashok Elluswamy (Tesla)
- Sanja Fidler (University of Toronto / NVIDIA)
- Philip Krähenbühl (University of Texas at Austin)
- BDD100K Challenges
- Waymo Open Dataset Challenges
- Argoverse Challenges