Stated objective

The goal of the workshop is to bring together scientists from various AI disciplines
to discuss existing challenges in this domain and potential future research directions.

Bringing together a competition.

This competition seeks to advance autonomous driving by developing agents that can drive as quickly and safely as possible from the start to the destination amid background traffic. Data for the competition consists of large-scale naturalistic driving data replayed within SMARTS simulation environment.

Organizers

  • Randy Goebel - University of Alberta
  • Amir Rasouli, Huawei Technologies Canada
  • Christian Muller - DFKI
  • Matthew E. Taylor - University of Alberta
  • Liam Faull - University of Montreal
  • Krzysztof Czarnecki - University of Waterloo
  • Shinpei Kato - University of Tokyo, TIER IV
  • Lei Ma - University of Tokyo, University of Alberta
  • Renjie Liao - University of British Columbia
  • David F. Llorca - University of Alcala
  • Shunsuke Aoki - National Institute of Informatics and Turing, Inc.
  • Tianpei Yang - University of Alberta
  • Iuliia Kotseruba - York University
  • Ehsan Ahmadi - University of Alberta
  • Kasra Rezaee - Huawei Technologies Canada
  • Soheil Alizadeh - Huawei Technologies Canada
  • Montgomery Alban - Huawei Technologies Canada
  • Dong Li - Huawei
  • Cheng Siyuan - Huawei
  • Xi Chen - McGill University, Huawei Technologies Canada

Collaborations

university of alberta
university of waterloo
university of british columbia
the university of tokyo
german research center for artificial intelligence
universidad de alcala
york university
university of montreal
national university of informatics
huawei
noah's ark lab

Get in touch

Reach out to us for any of your issues and questions.

Email

smarts4ad@gmail.com

Development

  • Github