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AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
v1v2v3v4 (latest)

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Computer Vision and Pattern Recognition (CVPR), 2021
16 January 2021
Jingkang Wang
Ava Pun
James Tu
S. Manivasagam
Abbas Sadat
Sergio Casas
Mengye Ren
R. Urtasun
ArXiv (abs)PDFHTML

Papers citing "AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles"

50 / 109 papers shown
Flux4D: Flow-based Unsupervised 4D Reconstruction
Flux4D: Flow-based Unsupervised 4D Reconstruction
Jingkang Wang
Henry Che
Yun Chen
Ze Yang
Lily Goli
S. Manivasagam
R. Urtasun
AI4CE
184
2
0
02 Dec 2025
ReGen: Generative Robot Simulation via Inverse Design
ReGen: Generative Robot Simulation via Inverse DesignInternational Conference on Learning Representations (ICLR), 2025
Phat Nguyen
Tsun-Hsuan Wang
Zhang-Wei Hong
Erfan Aasi
Andrew Silva
Guy Rosman
S. Karaman
Daniela Rus
AI4CE
215
5
0
06 Nov 2025
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
Jongsuk Kim
Jaeyoung Lee
Gyojin Han
Dongjae Lee
Minki Jeong
Junmo Kim
156
1
0
28 Oct 2025
Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering
Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering
Siddharth Tourani
Jayaram Reddy
Akash Kumbar
Satyajit Tourani
Nishant Goyal
Madhava Krishna
N. Dinesh Reddy
M. H. Khan
3DGS
168
0
0
15 Oct 2025
Controllable Collision Scenario Generation via Collision Pattern Prediction
Controllable Collision Scenario Generation via Collision Pattern Prediction
Pin-Lun Chen
Chi-Hsi Kung
Che-Han Chang
Wei-Chen Chiu
Yi-Ting Chen
162
0
0
14 Oct 2025
Scalable Offline Metrics for Autonomous Driving
Scalable Offline Metrics for Autonomous Driving
Animikh Aich
Adwait Kulkarni
Eshed Ohn-Bar
OffRL
265
0
0
09 Oct 2025
Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving
Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving
Xuan Chen
Shiwei Feng
Zikang Xiong
Shengwei An
Yunshu Mao
Lu Yan
Guanhong Tao
Wenbo Guo
Xiangyu Zhang
AAML
264
2
0
21 Sep 2025
SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis
SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis
Zhengqing Chen
Ruohong Mei
Xiaoyang Guo
Qingjie Wang
Yubin Hu
Wei Yin
Weiqiang Ren
Qian Zhang
144
1
0
08 Sep 2025
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
Jiangfan Liu
Yongkang Guo
Fangzhi Zhong
Tianyuan Zhang
Zonglei Jing
Yaning Tan
Jinyang Guo
Mingchuan Zhang
Aishan Liu
Xianglong Liu
AAML
234
2
0
20 Aug 2025
Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
Ahmed Abouelazm
Johannes Ratz
Philip Schorner
J. M. Zöllner
274
0
0
25 Jul 2025
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation
Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation
Xiuyu Yang
Shuhan Tan
Philipp Krahenbuhl
302
5
0
20 Jun 2025
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning
Miao Li
Wenhao Ding
Haohong Lin
Yiqi Lyu
Yihang Yao
Yuyou Zhang
Ding Zhao
LLMAG
217
4
0
23 May 2025
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion PredictionsIEEE International Conference on Robotics and Automation (ICRA), 2025
Albert Zhao
Stefano Soatto
DiffM
486
0
0
18 May 2025
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
Mingxing Peng
Yuting Xie
Xusen Guo
Ruoyu Yao
Hai Yang
Jun Ma
436
10
0
16 May 2025
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
Ahmed Abouelazm
Tim Weinstein
Tim Joseph
Philip Schorner
J. M. Zöllner
437
1
0
13 May 2025
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
J. Schumann
Jeroen Hagenus
Frederik Baymler Mathiesen
Arkady Zgonnikov
AAML
403
2
0
09 May 2025
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
Yuewen Mei
Tong Nie
Jian Sun
Ye Tian
454
7
0
02 May 2025
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model
Mingxing Peng
Ruoyu Yao
Xusen Guo
Yuting Xie
Xianda Chen
Jun Ma
471
3
0
01 May 2025
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
Haoxiang Tian
Wenqiang Ding
Xingshuo Han
Guoquan Wu
An Guo
Junqi Zhang. Wei Chen
Jun Wei
Tianwei Zhang
AAML
325
4
0
18 Apr 2025
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical DataProceedings of the ACM on Human-Computer Interaction (PACMHCI), 2025
Hauke Sandhaus
Angel Hsing-Chi Hwang
Wendy Ju
Qian Yang
237
1
0
10 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
Xianglong Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jinyang Guo
AAMLELM
547
2
0
31 Mar 2025
AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports
AccidentSim: Generating Vehicle Collision Videos with Physically Realistic Collision Trajectories from Real-World Accident Reports
Xinsong Zhang
Qian Zhang
Longfei Han
Qiang Qu
Xiaoming Chen
Weidong Cai
VGen
435
1
0
26 Mar 2025
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving IntentionsIEEE International Conference on Robotics and Automation (ICRA), 2025
Zherui Huang
Xing Gao
Guanjie Zheng
Licheng Wen
Xuemeng Yang
Xingwu Sun
AAML
401
2
0
07 Mar 2025
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
Shenyu Zhang
Jiaguo Tian
Zhengbang Zhu
Shan Huang
Jucheng Yang
Weinan Zhang
252
9
0
04 Mar 2025
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety
Gabriel Kenji Godoy Shimanuki
Alexandre Moreira Nascimento
Lucio Flavio Vismari
Joao Batista Camargo Junior
Jorge Rady de Almeida Junior
Paulo Sergio Cugnasca
280
2
0
27 Feb 2025
Unveiling Security Weaknesses in Autonomous Driving Systems: An In-Depth Empirical Study
Unveiling Security Weaknesses in Autonomous Driving Systems: An In-Depth Empirical StudyInformation and Software Technology (IST), 2025
Wenyuan Cheng
Hui Yuan
Peng Liang
Ran Mo
Hui Liu
AAML
332
1
0
27 Feb 2025
DriveLM: Driving with Graph Visual Question Answering
DriveLM: Driving with Graph Visual Question AnsweringEuropean Conference on Computer Vision (ECCV), 2023
Chonghao Sima
Katrin Renz
Kashyap Chitta
Lawrence Yunliang Chen
Hanxue Zhang
Chengen Xie
Jens Beißwenger
Ping Luo
Andreas Geiger
Hongyang Li
975
439
0
17 Jan 2025
SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets
SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets
Chengbo Zang
Yunlong Li
Xuan Di
346
2
0
03 Jan 2025
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable EventsComputer Vision and Pattern Recognition (CVPR), 2024
Aditya Chinchure
Sahithya Ravi
R. Ng
Vered Shwartz
Boyang Albert Li
Leonid Sigal
ReLMLRMVLM
525
10
0
07 Dec 2024
Generating Out-Of-Distribution Scenarios Using Language Models
Generating Out-Of-Distribution Scenarios Using Language ModelsIEEE International Conference on Robotics and Automation (ICRA), 2024
Erfan Aasi
Phat Nguyen
Shiva Sreeram
Guy Rosman
S. Karaman
Daniela Rus
OODD
429
10
0
25 Nov 2024
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving PlannersIEEE Robotics and Automation Letters (RA-L), 2024
Niklas Hanselmann
Simon Doll
Marius Cordts
Hendrik P. A. Lensch
Andreas Geiger
612
2
0
12 Nov 2024
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios
  via Guided Diffusion
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided DiffusionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Yuting Xie
Xianda Guo
Cong Wang
Kunhua Liu
Long Chen
AAML
263
21
0
11 Oct 2024
G3R: Gradient Guided Generalizable Reconstruction
G3R: Gradient Guided Generalizable ReconstructionEuropean Conference on Computer Vision (ECCV), 2024
Yun Chen
Jingkang Wang
Ze Yang
S. Manivasagam
R. Urtasun
368
27
0
28 Sep 2024
Learning to Drive via Asymmetric Self-Play
Learning to Drive via Asymmetric Self-PlayEuropean Conference on Computer Vision (ECCV), 2024
Chris Zhang
Sourav Biswas
Kelvin Wong
Kion Fallah
Lunjun Zhang
Dian Chen
Sergio Casas
R. Urtasun
208
8
0
26 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing
Realistic Extreme Behavior Generation for Improved AV TestingIEEE International Conference on Robotics and Automation (ICRA), 2024
Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
AAML
355
3
0
16 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario GenerationIEEE Robotics and Automation Letters (RA-L), 2024
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
481
10
0
16 Sep 2024
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Bo-Kai Ruan
Hao-Tang Tsui
Yung-Hui Li
Hong-Han Shuai
LM&Ro
538
18
0
15 Sep 2024
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made
  Stable
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
Yuan Yin
Pegah Khayatan
Éloi Zablocki
Alexandre Boulch
Matthieu Cord
304
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0
12 Sep 2024
Multimodal Large Language Model Driven Scenario Testing for Autonomous
  Vehicles
Multimodal Large Language Model Driven Scenario Testing for Autonomous Vehicles
Qiujing Lu
Xuanhan Wang
Yiwei Jiang
Guangming Zhao
Mingyue Ma
Shuo Feng
363
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10 Sep 2024
Improving Thompson Sampling via Information Relaxation for Budgeted
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Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits
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Seungki Min
249
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Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving PriorsIEEE Transactions on Intelligent Vehicles (TIV), 2024
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
568
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0
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FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with
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FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
Keyu Chen
Yuheng Lei
Hao Cheng
Haoran Wu
Wenchao Sun
Sifa Zheng
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ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for
  Autonomous Vehicles
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesComputer Vision and Pattern Recognition (CVPR), 2024
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Chejian Xu
Yue Liu
314
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Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
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Julian Zapata
Martin Stoll
Katrin Renz
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342
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RADIUM: Predicting and Repairing End-to-End Robot Failures using
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RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated SamplingIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
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Anjali Parashar
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174
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CtRL-Sim: Reactive and Controllable Driving Agents with Offline
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Roger Girgis
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450
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GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of
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210
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SLEDGE: Synthesizing Driving Environments with Generative Models and
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D. Dauner
Andreas Geiger
3DGS
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CaDRE: Controllable and Diverse Generation of Safety-Critical Driving
  Scenarios using Real-World Trajectories
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories
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Wenhao Ding
Jonathan M Francis
Bingqing Chen
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315
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  Vehicles with Dense Reinforcement Learning
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Ruoxuan Bai
Haoyuan Ji
Yi Zhang
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Shuo Feng
265
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123
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