CVPR 2021 Workshop
Autonomous Driving: Perception, Prediction and Planning
What’s around the car?
What will likely happen next?
What should an AV do?
Autonomous driving research can improve society by reducing road accidents, giving independence to those unable to drive, and inspiring younger generations towards computer vision with tangible examples of the technology clearly visible on local streets in many cities around the world. The goal of this workshop is to draw attention to the problems connecting the whole perception, prediction and planning stack.
We hope to encourage mutually informed progress on all three components, including the fundamental challenges of autonomous driving such as few-shot generalization, domain adaptation, self-supervised or semi-supervised learning, and planning friendly perception models. Furthermore, the workshop intends to foster interdisciplinary communication of researchers working on autonomous driving from both academia and industry. Finally, we intend to kick off a planning competition powered by a real-world self-driving dataset, which, to the best of our knowledge, has never been done in autonomous driving before.
Call for papers
We welcome authors to submit their papers in two different formats: full-paper version (4-8 pages) and short-abstract version (2-pages). The full-paper should describe the work that has not been published or accepted recently. The shot-abstract highlights the significant work that has been published or accepted recently. Please use the CVPR 2021 paper template and follow the CVPR submission guideline. Accepted papers will be posted on the website but there will not be archival proceedings.
The submission needs to be submitted to CMT system: https://cmt3.research.microsoft.com/ADP3CVPR2021.
2D/3D object detection for autonomous driving
Single/Multiple objects tracking
Motion prediction and planning for autonomous driving
Data-driven driving simulation
Reinforcement Learning and Imitation Learning for AV
Domain adaptation for autonomous driving
Sensor fusion for autonomous driving
Monocular/stereo depth estimation
Submission Open: April 1, 2021
April 30, May 11, 2021, 11:59 PM Pacific Time
May 15, May 25, 2021
Camera Ready Deadline: June 10, 2021
Will release soon.