CAT: Closed-loop Adversarial Training for Safe End-to-End Driving

19 October 2023

Papers citing "CAT: Closed-loop Adversarial Training for Safe End-to-End Driving"

26 / 26 papers shown

Title
RIFT: Closed-Loop RL Fine-Tuning for Realistic and Controllable Traffic Simulation Keyu Chen Wenchao Sun Hao Cheng Sifa Zheng 35 0 0 06 May 2025
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion Jiawei Wang Xintao Yan Yao Mu Haowei Sun Zhong Cao Henry X. Liu 41 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 57 0 0 02 May 2025
Decoupled Diffusion Sparks Adaptive Scene Generation Yunsong Zhou Naisheng Ye William Ljungbergh Tianyu Li Jiazhi Yang Zetong Yang Hongzi Zhu Christoffer Petersson Hongyang Li 33 1 0 14 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 61 0 0 31 Mar 2025
AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports X. Zhang Qian Zhang Longfei Han Qiang Qu Xiaoming Chen VGen 62 0 0 26 Mar 2025
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions Zherui Huang Xing Gao Guanjie Zheng Licheng Wen Xuemeng Yang X. Sun AAML 47 0 0 07 Mar 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
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 76 4 0 20 Feb 2025
Embodied Scene Understanding for Vision Language Models via MetaVQA Weizhen Wang Chenda Duan Zhenghao Peng Yuxin Liu Bolei Zhou LM&Ro 44 0 0 17 Jan 2025
DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation Tianyi Yan Dongming Wu Wencheng Han Junpeng Jiang Xia Zhou Kun Zhan Cheng-Zhong Xu Jianbing Shen 30 3 0 18 Nov 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
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 18 0 0 19 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 49 4 0 16 Sep 2024
ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable Yuan Yin Pegah Khayatan Éloi Zablocki Alexandre Boulch Matthieu Cord 29 2 0 12 Sep 2024
SimGen: Simulator-conditioned Driving Scene Generation Yunsong Zhou Michael Simon Zhenghao Peng Sicheng Mo Hongzi Zhu Minyi Guo Bolei Zhou VGen 42 11 0 13 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
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles Jiawei Zhang Chejian Xu Bo-wen Li 31 29 0 22 May 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning Luke Rowe Roger Girgis Anthony Gosselin Bruno Carrez Florian Golemo Felix Heide Liam Paull Christopher Pal 36 4 0 29 Mar 2024
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories Peide Huang Wenhao Ding Jonathan M Francis Bingqing Chen Ding Zhao 28 4 0 19 Mar 2024
Blending Data-Driven Priors in Dynamic Games Justin Lidard Haimin Hu Asher Hancock Zixu Zhang Albert Gimó Contreras ... Deepak Gopinath Guy Rosman Naomi Ehrich Leonard María Santos J. F. Fisac OffRL 30 5 0 21 Feb 2024
End-to-end Autonomous Driving: Challenges and Frontiers Li Chen Peng Wu Kashyap Chitta Bernhard Jaeger Andreas Geiger Hongyang Li 3DV 30 260 0 29 Jun 2023
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling Quanyi Li Zhenghao Peng Lan Feng Zhizheng Liu Chenda Duan Wen-An Mo Bolei Zhou 11 43 0 21 Jun 2023
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 129 528 0 20 Apr 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 80 146 0 06 Jan 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,599 0 02 Feb 2020