Jingxuan Yang, Zihang Wang, Daihan Wang, Yi Zhang, Qiujing Lu, Shuo Feng*, “Adaptive Safety Performance Testing for Autonomous Vehicles with Adaptive Importance Sampling”, submitted to Transportation Research Part C: Emerging Technologies, under review, 19-Oct-2024. [SSRN] [pdf]
Jingxuan Yang, Ruoxuan Bai, Haoyuan Ji, Yi Zhang, Jianming Hu, Shuo Feng*, “Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning”, submitted to IEEE Transactions on Intelligent Transportation Systems, under review, 29-Feb-2024. [arXiv]
Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Henry X. Liu, Shuo Feng*, “Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates”, IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 2, pp. 1761-1773, 2023, doi: 10.1109/TITS.2023.3317078. [arXiv] [pdf]
Kun Ren, Jingxuan Yang, Qiujing Lu, Yi Zhang, Jianming Hu*, Shuo Feng*, “Intelligent Testing Environment Generation for Autonomous Vehicles with Implicit Distributions of Traffic Behaviors”, submitted to Transportation Research Part C: Emerging Technologies, under review, 29-Sep-2024. [SSRN] [pdf]
Shu Li, Honglin He, Jingxuan Yang, Jianming Hu, Yi Zhang, Shuo Feng*, “Few-Shot Testing of Autonomous Vehicles with Scenario Similarity Learning”, submitted to IEEE Transactions on Intelligent Transportation Systems, under review, 29-Aug-2024. [arXiv]
Weichao Xu, Huaxin Pei*, Jingxuan Yang, Yuchen Shi, Yi Zhang, “Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach”, 2024. [arXiv]
会议论文
Jingxuan Yang, Honglin He, Yi Zhang, Shuo Feng*, Henry X. Liu, “Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios”, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2791-2797, doi: 10.1109/ITSC55140.2022.9922583. [arXiv] [pdf] [ppt] [video]
Ruoxuan Bai, Jingxuan Yang, Weiduo Gong, Yi Zhang, Qiujing Lu, Shuo Feng*, “Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems”, IEEE International Conference on Automation Science and Engineering (CASE), 2024, pp. 3243-3249, doi: 10.1109/CASE59546.2024.10711532. [arXiv] [pdf]
Shu Li, Jingxuan Yang, Honglin He, Yi Zhang, Jianming Hu, Shuo Feng*, “Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity”, IEEE Intelligent Vehicles Symposium (IV), 2024, pp. 620-626, doi: 10.1109/IV55156.2024.10588417. [arXiv] [pdf]
Honglin He, Shu Li, Jingxuan Yang, Linxuan He, Qiujing Lu, Yi Zhang, Shuo Feng*, “KnowMoformer: Knowledge-Conditioned Motion Transformer for Controllable Traffic Scenario Simulation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Data-Driven Autonomous Driving Simulation, 2024. [pdf] [poster]
Ye Tian, Huaxin Pei, Jingxuan Yang, Jianming Hu, Yi Zhang*, Xin Pei, “An Improved Model of Driving Risk Field for Connected and Automated Vehicles”, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021, pp. 285-291, doi: 10.1109/ITSC48978.2021.9565069. [pdf]