Shuo Feng
Orcid: 0000-0002-2117-4427Affiliations:
- University of Michigan, Department of Civil and Environmental Engineering, Ann Arbor, MI, USA
- Tsinghua University, Department of Automation, Beijing, China (PhD 2019)
According to our database1,
Shuo Feng
authored at least 34 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Evaluation of Automated Driving System Safety Metrics With Logged Vehicle Trajectory Data.
IEEE Trans. Intell. Transp. Syst., August, 2024
Adaptive Safety Evaluation for Connected and Automated Vehicles With Sparse Control Variates.
IEEE Trans. Intell. Transp. Syst., February, 2024
How to Guarantee Driving Safety for Autonomous Vehicles in a Real-World Environment: A Perspective on Self-Evolution Mechanisms.
IEEE Intell. Transp. Syst. Mag., 2024
Realistic Corner Case Generation for Autonomous Vehicles with Multimodal Large Language Model.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning.
CoRR, 2024
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
An Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of Connected and Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., December, 2023
IEEE Trans. Intell. Veh., January, 2023
Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation.
IEEE Trans. Intell. Veh., January, 2023
2022
Optimal Cooperative Driving at Signal-Free Intersections With Polynomial-Time Complexity.
IEEE Trans. Intell. Transp. Syst., 2022
Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework.
IEEE Trans. Intell. Transp. Syst., 2022
An adaptive multi-fidelity framework for safety analysis of connected and automated vehicles.
CoRR, 2022
Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
IEEE Trans. Veh. Technol., 2021
IEEE Trans. Intell. Veh., 2021
Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology.
IEEE Trans. Intell. Transp. Syst., 2021
Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies.
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Intell. Transp. Syst., 2021
CoRR, 2021
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing.
CoRR, 2021
2020
Tube-Based Discrete Controller Design for Vehicle Platoons Subject to Disturbances and Saturation Constraints.
IEEE Trans. Control. Syst. Technol., 2020
CoRR, 2020
2019
IEEE Trans. Veh. Technol., 2019
IEEE Trans. Veh. Technol., 2019
Robust cooperative platoon control in mixed traffic flow considering the uncertainty of human-driven vehicles.
CoRR, 2019
Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies.
CoRR, 2019
Annu. Rev. Control., 2019
2018
Longitudinal Safety Analysis For Heterogeneous Platoon of Automated And Human Vehicles.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018