A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective

4 February 2022

Ding Zhao

Papers citing "A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective"

50 / 68 papers shown

Title
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation Keyu Chen Wenchao Sun Hao Cheng Sifa Zheng 38 0 0 06 May 2025
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models Yuewen Mei Tong Nie Jian-jun Sun Ye Tian 63 0 0 02 May 2025
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model Mingxing Peng Ruoyu Yao Xusen Guo Yuting Xie Xianda Chen Jun Ma 26 0 0 01 May 2025
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data Hauke Sandhaus Angel Hsing-Chi Hwang Wendy Ju Qian Yang 22 1 0 10 Apr 2025
Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making Kaifeng Wang Yinsong Chen Qi Liu Xueyuan Li Xin Gao 32 0 0 09 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios Jingzheng Li X. Liu Shikui Wei Zhijun Chen B. Li Qing-Wu Guo Xianqi Yang Yanjun Pu Jiakai Wang AAML ELM 66 0 0 31 Mar 2025
CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction Yuansheng Lian Ke Zhang Meng Li 55 0 0 16 Mar 2025
Controllable Latent Diffusion for Traffic Simulation Yizhuo Xiao Mustafa Suphi Erden Cheng Wang 44 0 0 14 Mar 2025
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models Shenyu Zhang Jiaguo Tian Zhengbang Zhu Shan Huang Jucheng Yang Weinan Zhang 34 0 0 04 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 36 1 0 27 Feb 2025
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 36 1 0 27 Feb 2025
CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models Zihao Sheng Zilin Huang Yansong Qu Yue Leng Sruthi Bhavanam Sikai Chen 42 2 0 24 Feb 2025
Multi-Objective Reinforcement Learning for Critical Scenario Generation of Autonomous Vehicles Jiahui Wu Chengjie Lu Aitor Arrieta Shaukat Ali 36 0 0 18 Feb 2025
Generating Critical Scenarios for Testing Automated Driving Systems T. Nguyen Truong-Giang Vuong Hong-Nam Duong Son Nguyen H. Vo Toshiaki Aoki Thu-Trang Nguyen 65 0 0 03 Dec 2024
LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization Xinzheng Wu Junyi Chen Xingyu Xing Jian-jun Sun Ye Tian Lihao Liu Yong Shen 66 0 0 30 Nov 2024
AdvFuzz: Finding More Violations Caused by the EGO Vehicle in Simulation Testing by Adversarial NPC Vehicles You Lu Yifan Tian Dingji Wang Bihuan Chen Xin Peng AAML 65 0 0 29 Nov 2024
Rate-Informed Discovery via Bayesian Adaptive Multifidelity Sampling Aman Sinha Payam Nikdel Supratik Paul Shimon Whiteson 69 0 0 26 Nov 2024
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion Yuting Xie Xianda Guo Cong Wang Kunhua Liu Long Chen AAML 35 4 0 11 Oct 2024
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review Joshua Ransiek Philipp Reis Tobias Schürmann Eric Sax 69 0 0 21 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing Robert Dyro Matthew Foutter Ruolin Li L. D. Lillo Edward Schmerling Xilin Zhou Marco Pavone AAML 23 1 0 16 Sep 2024
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation Benjamin Stoler Ingrid Navarro Jonathan M Francis Jean Oh AAML 52 4 0 16 Sep 2024
Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving Zilin Huang Zihao Sheng Sikai Chen 31 4 0 01 Sep 2024
Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits Woojin Jeong Seungki Min 43 0 0 28 Aug 2024
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 18 0 0 26 Aug 2024
Addressing Behavior Model Inaccuracies for Safe Motion Control in Uncertain Dynamic Environments Minjun Sung Hunmin Kim N. Hovakimyan 19 0 0 26 Jul 2024
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing Tong Wang Taotao Gu Huan Deng Hu Li Xiaohui Kuang Gang Zhao 30 3 0 05 Jul 2024
Acceleration method for generating perception failure scenarios based on editing Markov process Canjie Cai 41 0 0 01 Jul 2024
ScenEval: A Benchmark for Scenario-Based Evaluation of Code Generation Debalina Ghosh Paul Hong Zhu Ian Bayley 27 2 0 18 Jun 2024
FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality Keyu Chen Yuheng Lei Hao Cheng Haoran Wu Wenchao Sun Sifa Zheng AAML 21 2 0 05 Jun 2024
Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training Framework Ziyuan Yang Zhaoyang Li Jianming Hu Yi Zhang 15 0 0 05 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 32 3 0 20 May 2024
UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios R. Mahjourian Rongbing Mu Valerii Likhosherstov Paul Mougin Xiukun Huang Joao Messias Shimon Whiteson 19 7 0 06 May 2024
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation Hanlin Tian Kethan Reddy Yuxiang Feng Mohammed Quddus Y. Demiris Panagiotis Angeloudis 30 10 0 12 Apr 2024
Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process Jingwei Ge Pengbo Wang Chen Chang Yi Zhang Danya Yao Li Li 28 0 0 28 Mar 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving Axel Brunnbauer Luigi Berducci P. Priller D. Ničković Radu Grosu 35 1 0 26 Mar 2024
Developing a Taxonomy of Elements Adversarial to Autonomous Vehicles Mohammadali Saffary Nishan Inampudi Joshua E. Siegel 21 1 0 29 Feb 2024
CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a Unified Framework for Simulation and Module Development Gemb Kaljavesi Tobias Kerbl Tobias Betz Kirill Mitkovskii Frank Diermeyer 17 1 0 17 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 22 3 0 02 Feb 2024
SAFE-SIM: Safety-Critical Closed-Loop Traffic Simulation with Controllable Adversaries Wei-Jer Chang Francesco Pittaluga Masayoshi Tomizuka Wei Zhan Manmohan Chandraker 13 7 0 31 Dec 2023
Foundation Models in Robotics: Applications, Challenges, and the Future Roya Firoozi Johnathan Tucker Stephen Tian Anirudha Majumdar Jiankai Sun ... Brian Ichter Danny Driess Jiajun Wu Cewu Lu Mac Schwager LM&Ro AI4CE LRM VLM 35 137 0 13 Dec 2023
Empowering Autonomous Driving with Large Language Models: A Safety Perspective Yixuan Wang Ruochen Jiao Sinong Simon Zhan Chengtian Lang Chao Huang Zhaoran Wang Zhuoran Yang Qi Zhu 22 26 0 28 Nov 2023
Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving Yueyuan Li Wei Yuan Songan Zhang Weihao Yan Qiyuan Shen Chunxiang Wang Ming Yang 27 32 0 18 Nov 2023
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving Hao-ming Lin Wenhao Ding Zuxin Liu Yaru Niu Jiacheng Zhu Yuming Niu Ding Zhao OffRL 20 11 0 31 Oct 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving Linrui Zhang Zhenghao Peng Quanyi Li Bolei Zhou AAML 29 26 0 19 Oct 2023
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity Haowen Shi Chengshan Pang Jiaming Zhang Kailun Yang Yuhao Wu Huajian Ni Yining Lin Rainer Stiefelhagen Kaiwei Wang MDE 17 17 0 04 Oct 2023
Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving Haoyi Niu Qimao Chen Yingyue Li Yi Zhang Jianming Hu 32 3 0 25 Sep 2023
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula Haoyi Niu Yi Tian Xu Xingjian Jiang Jianming Hu 18 3 0 25 Sep 2023
On the Robotic Uncertainty of Fully Autonomous Traffic Hangyu Li Xiaotong Sun 11 2 0 22 Sep 2023
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling Ruochen Jiao Yixuan Wang Xiangguo Liu Chao Huang Qi Zhu 23 3 0 17 Sep 2023
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 16 8 0 16 Sep 2023