This workshop will be held at the IEEE/RSJ IROS 2023, on October 5th, 2023, in Room 140E at Huntington Place, Detroit, MI, USA and streamed online (via zoom).
Abstract
Simulation is a crucial tool to accelerate the development of Autonomous Driving (AD) algorithms. Realistic traffic agent models reduce the sim-to-real gap and have the potential to massively scale evaluation of AD algorithms, paying into both development and safe deployment of AD systems.
Research in traffic agent modeling has recently made great advances, for example due to the switch to graph neural networks and training through sequential decisions. Yet, the research is scattered over different robotics and machine learning venues.
This workshop shall provide a platform to highlight recent advances and future directions towards realistic traffic agent models. Furthermore, this workshop shall provide insights from related fields such as prediction, motion planning and AV safety. Through a mix of invited talks from both academia and industry, paper presentations, and a panel discussion, attendees will be able to catch up with the latest advances, promising directions and most pressing challenges. Attendees will also be able to network in this growing field of research and related areas.
Location
On site: Room 140E at Huntington Place, Detroit, MI, USA.
Online: streamed via zoom.
Agenda
This full day workshop will take place on Thursday Oct 5th, 08:30 to 17:30 EDT (UTC-4). ICS-file.
Below times are in Detroit time. Current time in Detroit is .

Maria Soledad Elli
Data Scientist, Intel

Alyssa Pierson
Assistant Professor, Boston University

Henggang Cui
Principal Engineer, Prediction Team Lead at Motional

Jonah Philion
Research Scientist, NVIDIA
PhD Student, U. of Toronto

Marco Pavone
Director AV Research, NVIDIA
Associate Professor, Stanford University


Nico Montali
Research Engineer, Waymo
John Lambert
Research Scientist, Waymo


Chris Zhang
Research Scientist, Waabi
Kelvin Wong
Research Scientist, Waabi

Tianyu Tang
PhD Student, TU Munich

Thomas Lich
Senior Expert and Team Lead, Bosch Accident Research
Invited Speakers

Maria Soledad Elli
Data Scientist, Intel

Alyssa Pierson
Assistant Professor, Boston University

Holger Caesar
Assistant Professor, TU Delft

Henggang Cui
Principal Engineer, Prediction Team Lead at Motional

Jonah Philion
Research Scientist, NVIDIA
PhD Student, U. of Toronto

Marco Pavone
Director AV Research, NVIDIA
Associate Professor, Stanford University

Nico Montali
Research Engineer, Waymo

John Lambert
Research Scientist, Waymo

Eric Wolff
Research Scientist, Behavior Research Lead, Cruise

Chris Zhang
Research Scientist, Waabi

Kelvin Wong
Research Scientist, Waabi

Tianyu Tang
PhD Student, TU Munich

Thomas Lich
Senior Expert and Team Lead, Bosch Accident Research
Papers
Organizers

Maximilian Naumann
Bosch Center for Artifical Intelligence and KIT

Maximilian Igl
Waymo Research

Simon Suo

Thomas Gilles
Waabi and MINES Paris - PSL

Yiren Lu
Waymo Research

Fabien Moutarde
MINES Paris - PSL

Anca Dragan
UC Berkeley

Shimon Whiteson
Waymo UK and University of Oxford
Contact: agents4ad@googlegroups.com
Support
This workshop is supported by the
- IEEE RAS Technical Committee on Algorithms for Planning and Control of Robot Motion
- IEEE RAS Technical Committee on Autonomous Ground Vehicles and Intelligent Transportation Systems
- IEEE ITSS Technical Committee on Self-Driving Automobiles