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Xintao Yan
标题
引用次数
引用次数
年份
Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
S Feng, X Yan, H Sun, Y Feng, HX Liu
Nature communications 12 (1), 748, 2021
2512021
Dense reinforcement learning for safety validation of autonomous vehicles
S Feng, H Sun, X Yan, H Zhu, Z Zou, S Shen, HX Liu
Nature 615 (7953), 620-627, 2023
1522023
Safety assessment of highly automated driving systems in test tracks: A new framework
S Feng, Y Feng, X Yan, S Shen, S Xu, HX Liu
Accident Analysis & Prevention 144, 105664, 2020
622020
Corner case generation and analysis for safety assessment of autonomous vehicles
H Sun, S Feng, X Yan, HX Liu
Transportation research record 2675 (11), 587-600, 2021
322021
Distributionally consistent simulation of naturalistic driving environment for autonomous vehicle testing
X Yan, S Feng, H Sun, HX Liu
arXiv preprint arXiv:2101.02828, 2021
322021
Learning naturalistic driving environment with statistical realism
X Yan, Z Zou, S Feng, H Zhu, H Sun, HX Liu
Nature communications 14 (1), 2037, 2023
172023
Signal timing parameters estimation for intersections using floating car data
Z Du, X Yan, J Zhu, W Sun
Transportation research record 2673 (6), 189-201, 2019
102019
Evaluation of automated driving system safety metrics with logged vehicle trajectory data
X Yan, S Feng, DJ LeBlanc, C Flannagan, HX Liu
arXiv preprint arXiv:2401.01501, 2024
12024
A probabilistic model for missing traffic volume reconstruction based on data fusion
X Yan, Y Zhao, HX Liu
arXiv preprint arXiv:2105.02777, 2021
12021
System and method for simulating autonomous vehicle testing environments
X Liu, S Feng, H Sun, X Yan, H Zhu, Z Zou, S Shen
US Patent App. 18/143,475, 2023
2023
Simulating Naturalistic Driving Environment for Autonomous Vehicles
X Yan
2023
Safety Metrics Assessment Using Logged Vehicle Trajectory Data
X Yan, S Feng, DJ LeBlanc, C Flannagan, HX Liu, AL Svenson
27th International Technical Conference on the Enhanced Safety of Vehicles …, 2023
2023
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