Behavior-driven Autonomous Driving in Unstructured Environments


(BADUE'22)

October 27, 2022 at IROS'22 in Kyoto, Japan !

Overview

Autonomous driving research has advanced significantly through continuous improvements in perception, prediction, and planning. Despite this success, autonomous driving is limited to simple, sparse, and homogeneous traffic scenarios such as wide highways and sparsely populated urban cities. Scenarios like navigating unprotected left turns, unsignalized intersections, and roundabouts require autonomous vehicles to negotiate with human drivers and anticipate their actions, which often depend on the drivers’ behavior that autonomous vehicles cannot predict. Human driver behavior ranges from aggressive to conservative and different behaviors produce different styles; autonomous vehicles struggle to navigate these situations, especially in dense and unstructured traffic. Researchers and practitioners, therefore, have begun research at the intersection of human driver behavior modeling, multi-agent systems, and autonomous driving.

These three areas, combined, complement academic and industry work in perception, prediction, and planning. This workshop provides a platform to highlight recent efforts that advance behavior-driven autonomous driving, simulation, and ADAS with applications in human driver behavior modeling, multi-agent systems, and autonomous driving. Through invited talks, panel discussions, and paper presentations, attendees will become familiar with the latest research and network for new collaborations. Our jective for this workshop is to amplify the impact of behavior-driven autonomous driving research in both academia and industry, resulting in safer, robust, and confident autonomous vehicles.

One of the main goals of our workshop is to bridge the gap between the Multi-agent and Multi-Robot systems, Cognitive Robotics, and the Autonomous Driving community. The organizers and speakers are from top academic institutes (Stanford, Berkeley, CMU, Tsinghua) and industry organizations (Tesla, Waymo, Wayve, TRI) and have a lot of real world experience as well as a strong publishing record in dealing with these aspects. The organizers and speakers have also collected some challenging datasets on autonomous driving which are a great test bed for addressing research problems in cooperation, teaming, driver behavior, and game-theoretic aspects. Finally, we are proud to support great diversity in our team including age, gender, ethnicity, and location.

          

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Invited Speakers

Andrej Karpathy

Tesla

Nick Rhinehart

University of California, Berkeley

Rowan McAllister

Toyota Research Institute

Mac Schwager

Stanford University

Alyssa Pierson

Boston University

Katie Driggs-Campbell

UIUC

Kris Kitani

CMU

Hang Zhao

Tsinghua University

Shimon Whiteson

Waymo Research

Jamie Shotton

Wayve

Raquel Urtasun

Waabi

Call for Papers

We invite participants to submit their research in IROS format (up to 8 pages including figures, excluding references). We encourage the submission of early ideas, late-breaking results, position papers, or open research questions that are likely to generate interesting discussions. Accepted papers will be presented in a poster session and selected papers as spotlight talks. All submitted contributions will go through a single blind review process.


Topics include, and are not limited to:


The specific goals of the workshop will be to discuss ideas around following topics:

  • Perception in unstructured environments
  • Mapping and localization
  • Recognizing novel objects
  • Multi-agent trajectory forecasting
  • Multi-agent behavior prediction
  • Driver behavior modeling
  • Modeling human factors
  • Modeling human interactions in autonomous driving
  • Coordination and competition among multiple autonomous agents
  • Teaming in autonomous driving
  • Cooperative navigation
  • Learning for multi-agent navigation
  • Theory for multi-agent systems
  • Autonomous racing
  • Game-theoretic planning
  • Multi-agent decision making
  • Reinforcement learning in autonomous driving
  • ADAS, simulation, and software-driven approaches


Submission


CMT submissions open! Submit here: https://cmt3.research.microsoft.com/BADUE2022/Submission/Index/

IROS Submission Template: https://iros2022.org/contributing/call-for-papers/


Important Dates


  • Submission deadline: September 23, 2022 (Anywhere on Earth).
  • Notification of acceptance: October 9, 2022.
  • Camera Ready Submission: October 16, 2022.
  • Workshop day: October 23, 2022.

Endorsements

Our workshop is endorsed by the following RAS technical committees:

Program

Organizers

Rohan Chandra

University of Maryland

Anca Dragan

University of California, Berkeley

Negar Mehr

UIUC

Ben Sapp

Waymo

Dinesh Manocha

University of Maryland