Shuo Feng

Orcid: 0000-0002-2117-4427

Affiliations:
  • 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 31 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems.
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.
CoRR, 2024

Evaluation of automated driving system safety metrics with logged vehicle trajectory data.
CoRR, 2024

2023
An Adaptive Multi-Fidelity Sampling Framework for Safety Analysis of Connected and Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., December, 2023

Fault-Tolerant Cooperative Driving at Signal-Free Intersections.
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

"Curse of rarity" for autonomous 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
Distributed Cooperative Driving in Multi-Intersection Road Networks.
IEEE Trans. Veh. Technol., 2021

Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control.
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

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles.
CoRR, 2021

A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing.
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

Adaptive Testing Scenario Library Generation for Connected and Automated Vehicles.
CoRR, 2020

2019
A Grouping-Based Cooperative Driving Strategy for CAVs Merging Problems.
IEEE Trans. Veh. Technol., 2019

A Cooperative Driving Strategy for Merging at On-Ramps Based on Dynamic Programming.
IEEE Trans. Veh. Technol., 2019

A Bi-Level Cooperative Driving Strategy Allowing Lane Changes.
CoRR, 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

String stability for vehicular platoon control: Definitions and analysis methods.
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


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