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

2 March 2020

Ding Zhao

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

25 / 25 papers shown

Title
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 24 0 0 04 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 70 0 0 02 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
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 74 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 64 0 0 26 Mar 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 80 4 0 20 Feb 2025
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners Niklas Hanselmann Simon Doll Marius Cordts Hendrik P. A. Lensch Andreas Geiger 44 0 0 12 Nov 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 60 4 0 16 Sep 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors Kunkun Hao Yonggang Luo Wen Cui Yuqiao Bai Jucheng Yang Songyang Yan Yuxi Pan Zijiang Yang AAML 28 17 0 06 Aug 2024
Repeatable and Reliable Efforts of Accelerated Risk Assessment L. Capito Guillermo A. Castillo Bowen Weng 29 2 0 30 May 2024
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 16 1 0 11 May 2023
Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction Jiajian Lu Offer Grembek M. Hansen AI4TS 19 0 0 04 Oct 2022
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction Yulong Cao Chaowei Xiao Anima Anandkumar Danfei Xu Marco Pavone AAML 30 62 0 19 Sep 2022
Critical concrete scenario generation using scenario-based falsification D. Karunakaran J. S. Berrio Stewart Worrall E. Nebot 17 8 0 29 Aug 2022
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA Shreyas Ramakrishna Baiting Luo Christopher B. Kuhn G. Karsai Abhishek Dubey AAML 26 17 0 19 Jul 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann Katrin Renz Kashyap Chitta Apratim Bhattacharyya Andreas Geiger 29 86 0 28 Apr 2022
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling Mansur Arief Zhepeng Cen Zhen-Yan Liu Zhiyuan Huang H. Lam Bo-wen Li Ding Zhao UQCV 18 2 0 04 Apr 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 30 143 0 04 Feb 2022
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation Ziyuan Zhong Yun Tang Yuan Zhou V. Neves Yang Liu Baishakhi Ray 40 60 0 02 Dec 2021
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems Ziyuan Zhong Zhisheng Hu Shengjian Guo Xinyang Zhang Zhenyu Zhong Baishakhi Ray AAML 28 23 0 14 Sep 2021
Towards Guaranteed Safety Assurance of Automated Driving Systems with Scenario Sampling: An Invariant Set Perspective (Extended Version) Bowen Weng L. Capito Ü. Özgüner Keith A. Redmill 14 20 0 19 Apr 2021
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments Baiming Chen Zuxin Liu Jiacheng Zhu Mengdi Xu Wenhao Ding Ding Zhao 17 35 0 02 Jan 2021
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 99 0 16 Sep 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 29 16 0 24 Mar 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 233 2,547 0 25 Jan 2016