This workshop will be held at the CVPR 2025. Details will follow.
AbstractPermalink
On-road testing of autonomous vehicles presents significant challenges in terms of cost and safety, underscoring the importance of simulation as a crucial tool to accelerate the development of safe autonomous driving (AD), a technology with enormous real-world impact. To extract useful information from simulation, minimizing the sim-to-real gap by developing good agent behavior models, and ensuring faithful perception simulation is essential. While recent years have witnessed a surge of publications in this rapidly evolving field, several fundamental questions remain unanswered, with the research often scattered across different robotics and machine learning venues and research fields.
This workshop aims to unite leading researchers from various specializations, including perception simulation, behavior modeling, planner development, and safety research, to foster interdisciplinary conversations and collaboration.
Call for PapersPermalink
Important Dates 📅Permalink
- Paper Submission Opens:
February 18, 2025 - Paper Submission Deadline:
March 15, 2025 - Notification to Authors:
March 31, 2025 - Camera-Ready Submission: April 7, 2025
Submission Guidelines 🔔Permalink
We invite submissions of high-quality research to our Archival and Non-Archival tracks. All accepted papers will be eligible for poster presentation. A select number of papers will be chosen for spotlight presentations at the workshop. You need an openreview account for submission.
Topics 🚘Permalink
We welcome contributions in the Autonomous Driving domain in the following areas (but not limited to):
- Improve fidelity and diversity of generative models for behavior and sensor simulation,
- Develop new metrics for the quality and coverage of generated scenarios,
- Combine behavior modeling, perception simulation, and safety requirements,
- Create trust and assess the credibility of the simulation toolchain, and
- Effectively use simulation to evaluate autonomous vehicles,
- Effectively use simulation to train autonomous vehicles in closed loop,
- Incorporate recent advances from other fields, such as RL or foundation models.
For inquiries, feel free to reach out to the organizing committee at: agents4ad@googlegroups.com
AgendaPermalink
To be updated.
Invited SpeakersPermalink
Felix Heide
Torc Robotics & Princeton University
Raquel Urtasun
Waabi
Dragomir Anguelov
Waymo
Marco Pavone
NVIDIA & Stanford University
Johan Engstrom
Waymo
Eugene Vinitsky
New York University
Chelsea Finn
Stanford University
OrganizersPermalink
Azadeh Dinparastdjadid
Waymo
Zan Gojcic
NVIDIA
Maximilian Igl
NVIDIA
Maximilian Naumann
Bosch Center for Artificial Intelligence and KIT
Thomas Gilles
Waabi
Kate Tolstaya
Waymo
Sanja Fidler
NVIDIA and University of Toronto
Shimon Whiteson
Waymo UK and University of Oxford
Contact: agents4ad@googlegroups.com
Program CommitteePermalink
The DDADS workshop organizers would like to extend our sincere gratitude to the community of reviewers who generously volunteered their time and expertise to evaluate submissions for our workshop.
- Frieda Rong
- Ioan Andrei Bârsan
- Reinis Cimurs
- Shu-Yuan Liu
- Thomas Roddick
- Vishal Kirankumar Shah
- Zhejun Zhang