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Learning to Collide: An Adaptive Safety-Critical Scenarios Generating
  Method
v1v2v3 (latest)

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method

IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
2 March 2020
Wenhao Ding
Baiming Chen
Minjun Xu
Ding Zhao
ArXiv (abs)PDFHTML

Papers citing "Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method"

50 / 77 papers shown
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
221
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
157
1
0
28 Oct 2025
ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory
ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory
Ying Li
Xiaobao Wei
Yatian Wang
Yuming Li
Zhongyu Zhao
Hao Wang
Ningning MA
Ming Lu
Shanghang Zhang
Shanghang Zhang
VGen
449
10
0
29 Aug 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
235
2
0
20 Aug 2025
Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
Efficient Safety Testing of Autonomous Vehicles via Adaptive Search over Crash-Derived Scenarios
Rui Zhou
158
1
0
07 Aug 2025
Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario
Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario
Yinsong Chen
Kaifeng Wang
Xiaoqiang Meng
X. Li
Zirui Li
Xin Gao
202
0
0
21 Jul 2025
Challenger: Affordable Adversarial Driving Video Generation
Challenger: Affordable Adversarial Driving Video Generation
Zhiyuan Xu
Bohan Li
Huan-ang Gao
Mingju Gao
Yong Chen
Ming-Yuan Liu
Chenxu Yan
Hang Zhao
Shuo Feng
Hang Zhao
AAMLVGen
661
13
0
21 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
487
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
438
10
0
16 May 2025
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
On the Need for a Statistical Foundation in Scenario-Based Testing of Autonomous Vehicles
Xingyu Zhao
Robab Aghazadeh-Chakherlou
Chih-Hong Cheng
Peter Popov
L. Strigini
322
7
0
04 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
463
7
0
02 May 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
238
2
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
553
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
446
1
0
26 Mar 2025
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
Zihao Sheng
Zilin Huang
Yansong Qu
Yen-Jung Chen
Sruthi Bhavanam
Sikai Chen
417
12
0
24 Feb 2025
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
616
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
266
21
0
11 Oct 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
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for
  Enhancing Autonomous Vehicle Robustness
VCAT: Vulnerability-aware and Curiosity-driven Adversarial Training for Enhancing Autonomous Vehicle Robustness
Xuan Cai
Zhiyong Cui
Xuesong Bai
Ruimin Ke
Zhenshu Ma
Haiyang Yu
Yilong Ren
AAML
244
0
0
19 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
490
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
551
20
0
15 Sep 2024
Quantitative Representation of Scenario Difficulty for Autonomous
  Driving Based on Adversarial Policy Search
Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search
Shuo Yang
Caojun Wang
Yuanjian Zhang
Yuming Yin
Yanjun Huang
Shengbo Eben Li
Hong Chen
197
0
0
26 Aug 2024
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
590
40
0
06 Aug 2024
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with
  Reasonable Adversariality
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
Keyu Chen
Yuheng Lei
Hao Cheng
Haoran Wu
Wenchao Sun
Sifa Zheng
AAML
385
11
0
05 Jun 2024
Repeatable and Reliable Efforts of Accelerated Risk Assessment
Repeatable and Reliable Efforts of Accelerated Risk Assessment
L. Capito
Guillermo A. Castillo
Bowen Weng
206
3
0
30 May 2024
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
Jiawei Zhang
Chejian Xu
Yue Liu
316
122
0
22 May 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving
Ahmed Abouelazm
Jonas Michel
J. M. Zöllner
508
35
0
12 Apr 2024
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Marcel Hallgarten
Julian Zapata
Martin Stoll
Katrin Renz
Andreas Zell
344
34
0
11 Apr 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using
  Gradient-Accelerated Sampling
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated SamplingIEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Charles Dawson
Anjali Parashar
Chuchu Fan
175
0
0
04 Apr 2024
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of
  Safety considerations and Reinforcement Learning
GENESIS-RL: GEnerating Natural Edge-cases with Systematic Integration of Safety considerations and Reinforcement Learning
Hsin-Jung Yang
Joe Beck
Md Zahid Hasan
Ekin Beyazit
Subhadeep Chakraborty
Tichakorn Wongpiromsarn
Soumik Sarkar
212
2
0
27 Mar 2024
RealGen: Retrieval Augmented Generation for Controllable Traffic
  Scenarios
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios
Wenhao Ding
Yulong Cao
Ding Zhao
Chaowei Xiao
Marco Pavone
209
52
0
19 Dec 2023
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot
  Case Study
Reinforcement Learning for Safety Testing: Lessons from A Mobile Robot Case Study
Tom P. Huck
Martin Kaiser
Constantin Cronrath
Bengt Lennartson
Torsten Kröger
Tamim Asfour
162
1
0
06 Nov 2023
Scenario Diffusion: Controllable Driving Scenario Generation With
  Diffusion
Scenario Diffusion: Controllable Driving Scenario Generation With DiffusionNeural Information Processing Systems (NeurIPS), 2023
Ethan Pronovost
Meghana Reddy Ganesina
Noureldin Hendy
Zeyu Wang
Andres Morales
Kai Wang
Nicholas Roy
447
69
0
05 Nov 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop
  Simulation
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop SimulationConference on Robot Learning (CoRL), 2023
Jay Sarva
Jingkang Wang
James Tu
Yuwen Xiong
S. Manivasagam
R. Urtasun
317
12
0
02 Nov 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
CAT: Closed-loop Adversarial Training for Safe End-to-End DrivingConference on Robot Learning (CoRL), 2023
Linrui Zhang
Zhenghao Peng
Quanyi Li
Bolei Zhou
AAML
340
53
0
19 Oct 2023
Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle EvaluationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Zhen Liu
Hang Gao
Hao Ma
Shuo Cai
Yunfeng Hu
Ting Qu
Hong Chen
Xun Gong
AAML
193
1
0
29 Sep 2023
Stackelberg Driver Model for Continual Policy Improvement in
  Scenario-Based Closed-Loop Autonomous Driving
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving
Haoyi Niu
Qimao Chen
Yingyue Li
Yi Zhang
Jianming Hu
297
6
0
25 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized
  Curricula
Continual Driving Policy Optimization with Closed-Loop Individualized CurriculaIEEE International Conference on Robotics and Automation (ICRA), 2023
Haoyi Niu
Yi Tian Xu
Xingjian Jiang
Jianming Hu
433
4
0
25 Sep 2023
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
George Drayson
Efimia Panagiotaki
Daniel Omeiza
Lars Kunze
240
3
0
18 Sep 2023
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory
  Prediction in Autonomous Driving
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving
Ben Stoler
Ingrid Navarro
Meghdeep Jana
Soonmin Hwang
Jonathan M Francis
Jean Oh
294
20
0
16 Sep 2023
Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle
Semantic and Articulated Pedestrian Sensing Onboard a Moving Vehicle
Maria Priisalu
318
1
0
12 Sep 2023
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for
  Autonomous Vehicles
Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles
Yuhang Yang
Kalle Kujanpää
Amin Babadi
Joni Pajarinen
Alexander Ilin
296
4
0
01 Sep 2023
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure
  Events
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure EventsIEEE Open Journal of Intelligent Transportation Systems (JOITS), 2023
Aizaz Sharif
D. Marijan
AAML
213
3
0
28 Aug 2023
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane
  Graphs
Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
E. Maci
Rhys Howard
Lars Kunze
211
0
0
25 Aug 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and FrontiersIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Guoying Gu
3DV
510
713
0
29 Jun 2023
Realistic Safety-critical Scenarios Search for Autonomous Driving System
  via Behavior Tree
Realistic Safety-critical Scenarios Search for Autonomous Driving System via Behavior Tree
Ping Zhang
Lingfeng Ming
Ting Yuan
Cong Qiu
Yang Li
Xinhua Hui
Zhi-qin Zhang
Chao Huang
158
3
0
11 May 2023
Critical Scenario Generation for Developing Trustworthy Autonomy
Critical Scenario Generation for Developing Trustworthy Autonomy
Wenhao Ding
158
0
0
29 Apr 2023
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A
  Survey
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
barbara Schutt
Joshua Ransiek
Thilo Braun
Eric Sax
203
27
0
21 Apr 2023
(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely
  Regularized Hybrid Offline-and-Online Reinforcement Learning
(Re)2^22H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Haoyi Niu
Kun Ren
Yi Tian Xu
Ziyuan Yang
Yi-Hsin Lin
Yan Zhang
Jianming Hu
OffRL
261
10
0
27 Feb 2023
Learning to View: Decision Transformers for Active Object Detection
Learning to View: Decision Transformers for Active Object DetectionIEEE International Conference on Robotics and Automation (ICRA), 2023
Wenhao Ding
Nathalie Majcherczyk
Mohit Deshpande
Xuewei Qi
Ding Zhao
R. Madhivanan
Arnie Sen
OffRL
242
23
0
23 Jan 2023
12
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