| 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 | 370 | 2021 |
| 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 | 347 | 2023 |
| 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 | 81 | 2020 |
| 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 | 65 | 2023 |
| 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 | 55 | 2021 |
| 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 | 45 | 2021 |
| 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 | 17 | 2019 |
| Evaluation of automated driving system safety metrics with logged vehicle trajectory data X Yan, S Feng, DJ LeBlanc, C Flannagan, HX Liu IEEE Transactions on Intelligent Transportation Systems, 2024 | 3 | 2024 |
| CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning Y Yang, S Xu, X Yan, J Jiang, J Wang, H Huang IEEE Robotics and Automation Letters, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| A probabilistic model for missing traffic volume reconstruction based on data fusion X Yan, Y Zhao, HX Liu arXiv preprint arXiv:2105.02777, 2021 | 1 | 2021 |
| Modeling Naturalistic Driving Environment with High-Resolution Trajectory Data S Feng, X Yan, H Liu University of Michigan. Center for Connected and Automated Transportation, 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 |
Shuo FengAssociate Professor, Tsinghua UniversityCorreu electrònic verificat a tsinghua.edu.cn