Overview

Welcome to the CVPR 2023 Workshop on End-to-End Autonomous Driving!

This workshop aims to bring together leading researchers and practitioners to discuss upcoming paradigms for autonomous vehicles. Central to the program is a series of invited talks and four new challenges in the self-driving domain. Each challenge combines new perspectives of multiple components in perception and planning compared to conventional pipelines. Winners of the challenges will present their results and insights as part of the workshop. We invite researchers around the world to build new algorithms to tackle these challenging, real-world autonomous driving tasks!

  • Contact us at workshop-e2e-ad@googlegroups.com.

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  • Date

    Challenge


    15 Feb 2023
    Challenge Official Announcement
    15 March 2023
    Test Data Release, Server Open
    Late May 2023
    Challenge Submission Deadline
    4 Jun 2023
    Notification
    15 Jun 2023
    Submission of Winners Talk

    Workshop


    18 Jun 2023, Full day
    Workshop Event

    Challenges [Website]

  • We are proud to announce four brand-new challenges this year, in collaboration with our partners - Vision-Centric Autonomous Driving Workshop and the nuPlan team from Motional.

  • The challenge is not solely about winning top place with tricks and ensembles. Each track is set with cash prizes to award both top entries as well as innovative submissions. The award committee will select the most innovative submissions to present their work live.

  • General Rules at a Glance

  • We organizers unanimously agree that research should be equal to everyone in the world and apart from other factors. As such, all companies/individuals, regardless of region/belief/etc. can participate in the challenges.
  • Workshop organizers and their teams can participate in a particular track, as long as they are concealed from test data and not a member of the Award Committee.
  • Any endeavors found to hack test data/annotation will lead to disqualification from the competition.

  • For more details, please refer to the full rules here.

    Speakers

    Schedule

    Please select your time zone:

    Time Speaker Theme Content
    9:00,
    Jun 18
    Hongyang Li, Shanghai AI Lab Welcome and Opening Remarks slides / talk
    9:10,
    Jun 18
    Patrick Langechuan Liu Awesome Talk
    9:45,
    Jun 18
    Deva Ramanan Awesome Talk
    10:20,
    Jun 18
    Coffee Break Coffee Break -
    10:30,
    Jun 18
    Organizers and Winners Track 1: OpenLane Topology Challenge
    11:30,
    Jun 18
    Phil Duan Awesome Talk
    12:05,
    Jun 18
    Lunch Break Lunch Break -
    13:30,
    Jun 18
    Jose M. Alvarez Awesome Talk
    14:05,
    Jun 18
    Organizers and Winners Track 4: nuPlan Planning Challenge
    15:05,
    Jun 18
    Coffee Break Coffee Break -
    15:15,
    Jun 18
    Alex Kendall Do 2023's AI Breakthroughs Apply to AVs too?
    15:50,
    Jun 18
    Sergey Levine Reinforcement Learning
    16:25,
    Jun 18
    Yuning Chai Awesome Talk
    17:00-17:35,
    Jun 18
    TBD Moderator Panel Discussion
    Note: Presentation and winners of Track 2: Online HD Map Construction Challenge and Track 3: 3D Occupancy Prediction Challenge would be scheduled at Vision-Centric Autonomous Driving Workshop.

    Organizers


    Workshop Organizers

    Challenge Organizers

    Track 1: OpenLane Topolopy Challenge
  • Huijie Wang

    Huijie Wang

    Shanghai AI Lab

  • Yang Li

    Yang Li

    Shanghai AI Lab

  • Feng Wen

    Feng Wen

    Huawei

  • Track 2: Online HD Map Construction Challenge
  • Yicheng Liu

    Yicheng Liu

    Tsinghua University

  • Tianyuan Yuan

    Tianyuan Yuan

    Tsinghua University

  • Track 3: 3D Occupancy Prediction Challenge
    Track 4: nuPlan Planning Challenge
  • Pat Karnchanachari

    Pat Karnchanachari

    Motional

  • Dimitris  Geromichalos

    Dimitris Geromichalos

    Motional

  • Holger Caesar

    Holger Caesar

    TU Delft

  • Steering Committee

  • Yu Qiao

    Shanghai AI Lab

  • Jun Yao

    Huawei

  • Dahua Lin

    Shanghai AI Lab

  • Xiaogang Wang

    SenseTime

  • Wanli Ouyang

    Shanghai AI Lab

  • Jifeng Dai

    Jifeng Dai

    Tsinghua / Shanghai AI Lab

  • Junchi Yan

    Shanghai Jiao Tong University

  • Andreas Geiger

    University of Tübingen

  • Cong Shi

    HP