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

no code implementations • 1 Dec 2022 • Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu

One prevailing way is to design testing scenarios using prior knowledge of CAVs, test CAVs in these scenarios, and then evaluate their safety performances.

Corner Case Generation and Analysis for Safety Assessment of Autonomous Vehicles

no code implementations • 6 Feb 2021 • Haowei Sun, Shuo Feng, Xintao Yan, Henry X. Liu

In this paper, a unified framework is proposed to generate corner cases for the decision-making systems.

Autonomous Vehicles Decision Making

Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing

1 code implementation • 8 Jan 2021 • Xintao Yan, Shuo Feng, Haowei Sun, Henry X. Liu

Microscopic traffic simulation provides a controllable, repeatable, and efficient testing environment for autonomous vehicles (AVs).

Autonomous Vehicles

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

no code implementations • 8 Mar 2020 • Shuo Feng, Yiheng Feng, Haowei Sun, Yi Zhang, Henry X. Liu

A customized testing scenario library for a specific CAV model is generated through an adaptive process.

Bayesian Optimization

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

no code implementations • 9 May 2019 • Shuo Feng, Yiheng Feng, Haowei Sun, Shao Bao, Yi Zhang, Henry X. Liu

In Part I of this study, a general methodology for TSLG is proposed, and theoretical properties are investigated regarding the accuracy and efficiency of CAV evaluation.