CVPR 2020

Workshop on Autonomous Driving

June 19, 2020

The Washington State Convention Center
Seattle, WA

About The Workshop

About the Workshop

The CVPR 2020 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.

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Participants
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Paper Submission

We solicit paper submissions on novel methods and application scenarios of CV for Autonomous vehicles. We accept papers on a variety of topics, including autonomous navigation and exploration, ADAS, UAV, deep learning, calibration, SLAM, etc.. Papers will be peer reviewed under double-blind policy and the submission deadline is 20th March 2020. Accepted papers will be presented at the poster session, some as orals and one paper will be awarded as the best paper.

Challenge Track

We host a challenge to understand the current status of computer vision algorithms in solving the environmental perception problems for autonomous driving. We have prepared a number of large scale datasets with fine annotation, collected and annotated by Berkeley Deep Driving Consortium and others. Based on the datasets, we have define a set of four realistic problems and encourage new algorithms and pipelines to be invented for autonomous driving).

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Schedule
Call for Papers

Important Dates

  • Workshop paper submission deadline: March 14th 2020 March 20th 2020
  • Notification to authors: 9th April 2020 15th April 2020
  • Camera ready deadline: 19th April 2020

Topics Covered

Topics of the papers include but are not limited to:

  • Autonomous navigation and exploration
  • Vision based advanced driving assistance systems, driver monitoring and advanced interfaces
  • Vision systems for unmanned aerial and underwater vehicles
  • Deep Learning, machine learning, and image analysis techniques in vehicle technology
  • Performance evaluation of vehicular applications
  • On-board calibration of acquisition systems (e.g., cameras, radars, lidars)
  • 3D reconstruction and understanding
  • Vision based localization (e.g., place recognition, visual odometry, SLAM)

Presentation Guidelines

All accepted papers will be presented as posters. The guidelines for the posters are the same as at the main conference.

Submission Guidelines

  • We solicit short papers on autonomous vehicle topics
  • Submitted manuscript should follow the CVPR 2019 paper template
  • The page limit is 8 pages (excluding references)
  • We accept dual submissions, but the manuscript must contain substantial original contents not submitted to any other conference, workshop or journal
  • Submissions will be rejected without review if they:
    • contain more than 8 pages (excluding references)
    • violate the double-blind policy or violate the dual-submission policy
  • The accepted papers will be linked at the workshop webpage and also in the main conference proceedings if the authors agree
  • Papers will be peer reviewed under double-blind policy, and must be submitted online through the CMT submission system at: https://cmt3.research.microsoft.com/WAD2020
Challenges

We host challenges to understand the current status of computer vision algorithms in solving the environmental perception problems for autonomous driving. We have prepared a number of large scale datasets with fine annotation, collected and annotated by Berkeley DeepDriving, Argo AI. Based on the datasets, we have defined a set of several realistic problems and encourage new algorithms and pipelines to be invented for autonomous driving.

Our second challenge will be announced soon!

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Challenge 1: Argoverse Motion Forecasting and 3D Tracking Challenge

Our first two challenges are the Argoverse Motion Forecasting and 3D Tracking challenges. Argo AI is offering $5,000 in prizes for Motion Forecasting and 3D tracking competitions on Argoverse. See more details on the Motion Forecasting and 3D Tracking leaderboards. The competition will end on June 10th. Winning methods will be highlighted during the workshop.

Sponsors

Diamand Sponsors