CVPR 2024

Workshop on Autonomous Driving

Monday, June 17, 2024

Seattle, WA, USA

About The Workshop

The CVPR 2024 Workshop on Autonomous Driving (WAD) brings together leading researchers and engineers from academia and industry to discuss the latest advances in autonomous driving. Now in its 7th year, the workshop has been continuously evolving with this rapidly changing field and now covers all areas of autonomy, including perception, behavior prediction and motion planning. In this full-day workshop, our keynote speakers will provide insights into the ongoing commercialization of autonomous vehicles, as well as progress in related fundamental research areas. Furthermore, we will host a series of technical benchmark challenges to help quantify recent advances in the field, and invite authors of accepted workshop papers to present their work.

Challenges
Speakers
About Image
About Image
News

  • [Mar 24] Our paper track is now closed. Thank you for your submissions!
  • [Mar 18] We extended the paper submission deadline to Sunday, March 24, 2024 (23:59 PST).
  • [Mar 18] The Waymo Open Dataset 2024 Challenges are now live!
  • [Feb 15] More details on the Waymo Open Dataset 2024 Challenges are now available in the Challenges section.
  • [Feb 12] Please note that our paper submission deadline has been revised! Submissions will be due by Friday, March 22, 2024 (23:59 PST).
  • [Feb 5] We are now accepting submissions to our paper track!
  • [Feb 5] The 2024 Argoverse Challenges are now live!
  • [Feb 5] The workshop will take place on Friday, June 17, 2024.
  • [Jan 26] We added our Call for Papers. Dates and submission system to be added soon.
  • [Dec 24] The workshop got accepted. More updates to follow soon.
Challenges

The workshop will host a variety of challenges to promote research in computer vision, behavor prediction and planning for autonomous driving. Our partners Waymo and Argoverse have prepared large-scale benchmark datasets with high-quality ground truth annotations. We invite researchers around the world to tackle a range of challenging autonomous driving tasks.

Waymo Open Dataset Challenges

The 5th annual edition of the Waymo Open Dataset Challenges is now running through May 22, 2024 at 11:59PM Pacific Time. Waymo is hosting the following challenges:

  • Motion Prediction: Given the past 1 second agent history on a corresponding map and the associated lidar and camera data for this time interval, predict the positions of up to 8 agents for 8 seconds into the future. Use of lidar and camera data are optional.
  • Occupancy and Flow Prediction: Predict the bird’s-eye view (BEV) occupancy and motion flow of all observed and occluded vehicles given observed agent tracks for the last second.
  • Sim Agents: Given the agent tracks for the past 1 second on a corresponding map, and optionally the associated lidar for this time interval, simulate 32 realistic joint futures for all the agents in the scene.
  • 3D Semantic Segmentation: Given one or more lidar range images and the associated camera images, produce a semantic class label for each lidar point.

Challenge Image

Argoverse Challenges

The Argoverse 2024 Challenges are now running through June 7, 2024. Argoverse is hosting the following challenges:

  • Multi-agent Motion Forecasting: Given the position, orientation, and category of actors in a scene, predict the future motion of several key actors in the future.
  • Unified Detection, Tracking, Forecasting: Detect, Track, and Forecast 26 categories of objects. The focus of this year's challenge is to improve on long-range detection (e.g. 100m - 150m) and non-linear motion forecasting.
  • Lidar Scene Flow: Predict Scene Flow of pedestrians and other vulnerable road users.
  • 4D Occupancy Forecasting: Predict the spacetime occupancy of the world for the next 3 seconds.

Call for Papers

Important Dates

  • Workshop paper submission deadline: Friday, March 22, 2024 (23:59 PST) Sunday, March 24, 2024 (23:59 PST)
  • Notification to authors: Wednesday, April 10, 2024 (23:59 PST)
  • Camera ready deadline: Sunday, April 14, 2024 (23:59 PST)

Topics Covered

We invite submissions of original research contributions in machine perception, computer vision, prediction, planning and simulation related to autonomous vehicles, such as (but not limited to):

  • Foundational models for autonomous driving.
  • Vision language models (VLMs) and large language models (LLMs) for solving autonomous vehicle related tasks such as prediction or planning.
  • Autonomous navigation and exploration based on camera, laser, radar or related measurements.
  • Embodied AI for autonomous driving.
  • Sensor fusion and multi-modal perception algorithms for scene understanding.
  • Bird’s eye view methods for autonomous driving, such as BEV-based 3D detection, BEV segmentation, occupancy grids, HD-maps, and topological lane graphs.
  • Vision-based driving assistance, driver monitoring and advanced interfaces.
  • Sensor simulation, neural rendering / NeRFs, 3D Gaussian Splatting, generative models for 3D assets or driving environments.
  • Diffusion models for prediction and planning.
  • Mapless autonomous driving.
  • Cooperative perception and planning based on vehicle-to-everything (V2X) / vehicle-to-vehicle communication.
  • Transfer learning and domain adaptation in the autonomous vehicle domain.
  • Simulation for autonomous driving.
  • Online sensor calibration.
  • SLAM and 3D reconstruction algorithms.
  • Validation and interpretability of autonomous systems.
  • Adversarial learning, adversarial attacks, robustness and handling of uncertainty in autonomous systems.

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 2024 paper template
  • The page limit is 8 pages (excluding references)
  • We do not accept dual submissions
  • 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.
  • Papers will be peer reviewed under double-blind policy, and must be submitted online.
  • Submit your papers through CMT: https://cmt3.research.microsoft.com/WAD2024