This half-day workshop will be held on June 4, 2026, from 1:30 PM, in Room 102/104, at CVPR 2026 in Denver, CO, USA.

Abstract

On-road testing of autonomous vehicles is costly, making simulation essential for developing autonomous driving. Beyond evaluation, simulation also plays an increasing role in closed-loop training and reinforcement learning. This workshop brings together researchers from multiple disciplines to advance both fronts of the simulation challenge: improving fidelity and leveraging simulation for training and evaluation. Topics include sensor simulation, behavior modeling, reinforcement learning, and closed-loop evaluation. The program features keynotes, contributed papers, and a panel discussion.

Topics

This workshop will cover topics related to:

  • Improve fidelity and diversity of reconstruction and generative models for behavior and sensor simulation.
  • Leverage simulation for validation and training, developing effective metrics for quality and safety measurements.
  • Build connection to recent advances from other fields (e.g., RL, foundation models) for more scalable and accessible simulation.

Call for Papers

We invite submissions of original research on topics including, but not limited to: generative models or policies for agent behavior in AV simulation, sensor and perception simulation, world models, evaluation metrics for model fidelity and coverage, novel training or evaluation frameworks using simulation, high-fidelity tail-event simulation (e.g., collisions), and safety assessment in simulation-based training.

A single, non-archival track will be offered, accepting original work or papers previously submitted/published elsewhere. Manuscripts should be 4–8 pages (excluding references) in CVPR format and should include author names and affiliations (submissions must not be anonymized); previously published work may retain the original format. The review process is single-blind.

Submit your paper on OpenReview.

Important Dates 📅

  • Paper Submission Deadline: March 19 UTC-0 (extended from March 12), 2026
  • Notification to Authors: March 29, 2026
  • Camera-Ready Submission: April 11, 2026

For inquiries, feel free to reach out to the organizing committee at: agents4ad@googlegroups.com

Agenda

This half-day workshop will take place on Thursday June 4th, 13:30 to 18:00 MDT (UTC-6).

Below times are in Denver time. Current time in Denver is .

Time
Event
Content
13:30
Welcome
13:45
Keynote 1
14:15
Keynote 2
14:45
Keynote 3
15:15
Coffee Break & Posters
16:15
Keynote 4
16:45
Keynote 5
17:15
Panel Moderated by Prof. Sanja Fidler

Invited Speakers


Marco Pavone

Stanford University / NVIDIA

Hongyang Li

The University of Hong Kong

Dragomir Anguelov

Waymo

Siva Manivasagam

Waabi

Cathy Wu

MIT

Accepted Papers

Title
Authors
Links
Compiling OpenSCENARIO 2.1 for Scenario-Based Testing in CARLA
Thoshitha Gamage, Lasanthi Gamage
SPACeR: Self-Play Anchoring with Centralized Reference Models
Wei-Jer Chang, Akshay Rangesh, Kevin Joseph, Matthew Strong, Masayoshi Tomizuka, Yihan Hu, Wei Zhan
NVRQ: A Benchmark for Object-Level Quality in 3D Neural Reconstruction
Wangren Xu, Bidur Khanal, Naveen Kumar Rai, Bjoern Haefner, Sean M. Pieper, Nick Schneider
IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes
Carl Lindstrom, Mahan Rafidashti, Maryam Fatemi, Lars Hammarstrand, Martin R. Oswald, Lennart Svensson
Latent Space Steering for Controllable Rare Pedestrian Trajectory Generation
Ananya Arvind
TeraSim: Uncovering Unknown Unsafe Events for Autonomous Vehicles through Generative Simulation
Haowei Sun, Xintao Yan, Zhijie Qiao, Haojie Zhu, Yihao Sun, Jiawei Wang, Shengyin Shen, Darian Hogue, Rajanikant Patnaik Ananta, Derek Johnson, Greg Stevens, Greg McGuire, Yifan Wei, Wei Zheng, Yong Sun, Yasuo Fukai, Henry X. Liu
ScenDi: 3D-to-2D Scene Diffusion Cascades for Urban Generation
Hanlei Guo, Jiahao Shao, Xinya Chen, Xiyang Tan, Sheng Miao, Yujun Shen, Yiyi Liao
Towards Viewpoint-Robust End-to-End Autonomous Driving with 3D Foundation Model Priors
Hiroki Hashimoto, Hiromichi Goto, Hiroyuki Sugai, Hiroshi Kera, Kazuhiko Kawamoto
Hybrid Rendering for Multimodal Autonomous Driving: Merging Neural and Physics-Based Simulation
Mate Toth, Peter Kovacs, Reka Bencses, Zoltan Bendefy, Zoltan Hortsin, Balazs Tereki, Tamas Matuszka
Heterogeneous Self-Play for Realistic Highway Traffic Simulation
Jinkai Qiu, Alessandro Saviolo, Chaojie Wang, Mingke Wang, Xiaoyu Huang
On the Assessment of Sensitivity of Autonomous Vehicle Perception
Apostol Vassilev, Munawar Hasan, Edward Griffor, Honglan Jin, Pavel Piliptchak, Mahima Arora, Thoshitha Gamage
LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents
Yun He, Francesco Pittaluga, Ziyu Jiang, Matthias Zwicker, Manmohan Chandraker, Zaid Tasneem
JACoP: Joint Alignment for Compliant Multi-Agent Prediction
Qingze Tony Liu, Alen Mrdovic, Danrui Li, Mathew Schwartz, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic
LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding
Julian Ost, Andrea Ramazzina, Amogh Joshi, Maximilian Bomer, Mario Bijelic, Felix Heide
Beyond Binary Metrics: Unveiling the Safety Illusion in Autonomous Driving Simulation
Zexin Feng, Lingyu Xiao, Xintao Yan
Learning to Drive in New Cities Without Human Demonstrations
Zilin Wang, Saeed Rahmani, Daphne Cornelisse, Bidipta Sarkar, Alexander David Goldie, Jakob Nicolaus Foerster, Shimon Whiteson
TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving
Tugrul Gorgulu, Atakan Dag, Muhammet Esat Kalfaoglu, Halil Ibrahim Kuru, Baris Can Cam, Halil Ibrahim Ozturk, Ozsel Kilinc
3D Gaussian Inverse Rendering with Approximated Global Illumination
Zirui Wu, Jianteng Chen, Laijian Li, Shaoteng Wu, Zhikai Zhu, Kang Xu, Martin R. Oswald, Jie Song
Uncertainty-Calibrated Closed-Loop Simulation for Autonomous Driving Evaluation
Mahule Roy, Subhas Roy

Organizers


Yiyi Liao

Zhejiang University

Maximilian Igl

NVIDIA

Kashyap Chitta

NVIDIA

Azadeh Dinparastdjadid

Waymo

Maximilian Naumann

Zoox

Zan Gojcic

NVIDIA

Shuhan Tan

University of Texas at Austin

Kate Tolstaya

Waymo

Jingkang Wang

University of Toronto / Waabi

Sanja Fidler

University of Toronto / NVIDIA

Shimon Whiteson

University of Oxford / Waymo

Contact: agents4ad@googlegroups.com