The 2023 Waymo Open Dataset Challenges have concluded. We held four challenges involving our datasets. Check out the details below.
Please review the Waymo Open Dataset Challenges 2023 Official Rules. To participate, еvery member of each team must meet the eligibility requirements and agree to the Official Rules.
All four challenges closed on May 23, 2023 at 11:59 PM Pacific Time.
First place: $10,000 in Google Cloud credits and a certificate. Sponsor may also choose to publish the technical report of the first place submission.
Second and Third places: certificates and recognition on Challenge leaderboard. Sponsor may also choose to publish technical reports of second and third place submissions.
Additionally, teams with the best performing or noteworthy submissions may be invited to present their work at the Workshop on Autonomous Driving at CVPR in June 2023.
2D Video Panoptic Segmentation
Given a panoramic sequence of camera images across five cameras and over time, produce a set of panoptic segmentation labels for each pixel, where the instance labels are consistent across all images in the sequence.
Given one or more lidar range images and associated camera images, predict 3D keypoints for pedestrians and cyclists in the scene, up to 25m from the ADV.
Given the agent tracks for the past 1 second on a corresponding map and the associated lidar data for this time interval, predict the positions of up to 8 agents for 8 seconds into the future.
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.
|Motion Prediction Challenge||Method and Technical Report||Authors||Affiliation|
|First Place||MTR++_Ens||Shaoshuai Shi*, Li Jiang*, Dengxin Dai, Bernt Schiele||Max Planck Institute for Informatics|
|Second Place||IAIR+||Miao Kang, Liushuai Shi, Jinpeng Dong, Yuhao Huang, Ke Ye, Yufeng Hu, Junjie Zhang, Yonghao Dong, Yizhe Li, Sanping Zhou||Xi'an Jiaotong Univeristy|
|Third Place||GTR-R36||Haochen Liu, Xiaoyu Mo, Zhiyu Huang, Chen Lv||Nanyang Technological University|
|Sim Agents Challenge||Method Name||Authors||Affiliation|
|First Place||MVTE||Yu Wang, Tiebiao Zhao, Fan Yi||Pegasus|
|Second Place||MTR+++||Cheng Qian, Minghao Tian, Di Xiu||DiDi Autonomous Driving, Northeastern University of China, University of Chinese Academy of Sciences|
|Third Place||CAD||Hsu-kuang Chiu, Stephen F. Smith||Carnegie Mellon University|
|Honorable Mention||multipath||Wenxi Wang, Haotian Zhen||DiDi Voyager, Xi'an Jiaotong University|
|2D Video Panoptic Segmentation Challenge||Method Name||Authors||Affiliation|
|First Place||AmapNet-v_230523181741||Biye Jiang, Xiang Wu, Feng Xiong||Alibaba|
|Second Place||Clip KMax with Video Stitching||Venkata Pradeep Kadubandi, Aniket Murarka||No affiliations|
Please see the Waymo Open Dataset Challenges 2023 Official Rules here.
The awards for the 2022 WOD Challenges (listed below) have already been given out, but the leaderboards are still available for submissions.
The awards for the 2021 Challenges (listed below) have already been given out, but the leaderboards are still available for submissions.
The awards for the 2020 Challenges (listed below) have already been given out, but the leaderboards are still available for submissions.