activity
20182022
most citedTesting Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

256 citations · 729 across the 17 of their papers we have counts for

collaborators

17 papers

eess.SY2022★ 13 cited

Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates

Jingxuan Yang, Haowei Sun, Honglin He +3

Safety performance evaluation is critical for developing and deploying connected and automated vehicles (CAVs). One prevailing way is to design testing scenarios using prior knowle…

cs.RO2022

An adaptive multi-fidelity sampling framework for safety analysis of connected and automated vehicles

Xianliang Gong, Shuo Feng, Yulin Pan

Testing and evaluation are expensive but critical steps in the development of connected and automated vehicles (CAVs). In this paper, we develop an adaptive sampling framework to e…

eess.SY2022

Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios

Jingxuan Yang, Honglin He, Yi Zhang +2

Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs). Due to the black-box property and various types of CAVs, how…

cs.RO2022★ 9 cited

"Curse of rarity" for autonomous vehicles

Henry X. Liu, Shuo Feng

In this paper, we reveal that the rarity of safety-critical events in high-dimensional driving environments is the root cause of the safety challenge for autonomous vehicle develop…

eess.SY2021★ 3 cited

Optimal Cooperative Driving at Signal-Free Intersections with Polynomial-Time Complexity

Huaxin Pei, Yuxiao Zhang, Yi Zhang +1

Cooperative driving at signal-free intersections, which aims to improve driving safety and efficiency for connected and automated vehicles, has attracted increasing interest in rec…

eess.SY2021★ 5 cited

Distributed Cooperative Driving in Multi-Intersection Road Networks

Huaxin Pei, Yi Zhang, Qinghua Tao +2

Cooperative driving at isolated intersections attracted great interest and had been well discussed in recent years. However, cooperative driving in multi-intersection road networks…

cs.AI2021★ 4 cited

Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles

Haowei Sun, Shuo Feng, Xintao Yan +1

Testing and evaluation is a crucial step in the development and deployment of Connected and Automated Vehicles (CAVs). To comprehensively evaluate the performance of CAVs, it is of…

eess.SY2021★ 2 cited

A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing

Lin Liu, Shuo Feng, Yiheng Feng +2

In the simulation-based testing and evaluation of autonomous vehicles (AVs), how background vehicles (BVs) drive directly influences the AV's driving behavior and further impacts t…

eess.SY2021★ 18 cited

Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing

Xintao Yan, Shuo Feng, Haowei Sun +1

Microscopic traffic simulation provides a controllable, repeatable, and efficient testing environment for autonomous vehicles (AVs). To evaluate AVs' safety performance unbiasedly,…

eess.SY2020★ 1 cited

A Mechanical System Inspired Microscopic Traffic Model: Modeling, Analysis, and Validation

Mohammad R. Hajidavalloo, Zhaojian Li, Dong Chen +3

In this paper, we develop a mechanical system inspired microscopic traffic model to characterize the longitudinal interaction dynamics among a chain of vehicles. In particular, we…

eess.SY2020★ 110 cited

Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework

Shuo Feng, Yiheng Feng, Haowei Sun +2

How to generate testing scenario libraries for connected and automated vehicles (CAVs) is a major challenge faced by the industry. In previous studies, to evaluate maneuver challen…

cs.MA2019★ 5 cited

A Bi-Level Cooperative Driving Strategy Allowing Lane Changes

Huile Xu, Yi Zhang, Christos G. Cassandras +2

This paper studies the cooperative driving of connected and automated vehicles (CAVs) at conflict areas (e.g., non-signalized intersections and ramping regions). Due to safety conc…

eess.SY2019★ 167 cited

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

Shuo Feng, Ziyou Song, Zhaojian Li +2

The design of cooperative adaptive cruise control is critical in mixed traffic flow, where connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist. Compare…

cs.RO2019★ 129 cited

Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

Shuo Feng, Yiheng Feng, Haowei Sun +3

Testing scenario library generation (TSLG) is a critical step for the development and deployment of connected and automated vehicles (CAVs). In Part I of this study, a general meth…

eess.SY2019★ 256 cited

Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology

Shuo Feng, Yiheng Feng, Chunhui Yu +2

Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs), and yet there is no systematic framework to generate testing…

eess.SY2018

Longitudinal Safety Analysis For Heterogeneous Platoon Of Automated And Human Vehicles

Zi Yang, Xinpeng Wang, Xin Pei +4

With the recent advancement in environmental sensing, vehicle control and vehicle-infrastructure cooperation technologies, more and more autonomous driving companies start to put t…

eess.SY2018★ 7 cited

A Grouping Based Cooperative Driving Strategy for CAVs Merging Problems

Huile Xu, Shuo Feng, Yi Zhang +1

In general, there are two kinds of cooperative driving strategies, planning based strategy and ad hoc negotiation based strategy, for connected and automated vehicles (CAVs) mergin…