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most citedAccelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques

457 citations · 696 across the 72 of their papers we have counts for

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5 papers · 1 filter

eess.SY2017★ 2 cited

Towards Affordable On-track Testing for Autonomous Vehicle - A Kriging-based Statistical Approach

Zhiyuan Huang, Henry Lam, Ding Zhao

This paper discusses the use of Kriging model in Automated Vehicle evaluation. We explore how a Kriging model can help reduce the number of experiments or simulations in the Accele…

eess.SY2017★ 2 cited

An Accelerated Testing Approach for Automated Vehicles with Background Traffic Described by Joint Distributions

Zhiyuan Huang, Henry Lam, Ding Zhao

This paper proposes a new framework based on joint statistical models for evaluating risks of automated vehicles in a naturalistic driving environment. The previous studies on the…

eess.SY2017★ 2 cited

Sequential Experimentation to Efficiently Test Automated Vehicles

Zhiyuan Huang, Henry Lam, Ding Zhao

Automated vehicles have been under heavy developments in major auto and tech companies and are expected to release into market in the foreseeable future. However, the road safety o…

eess.SY2017★ 5 cited

Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models

Zhiyuan Huang, Ding Zhao, Henry Lam +1

The process to certify highly Automated Vehicles has not yet been defined by any country in the world. Currently, companies test Automated Vehicles on public roads, which is time-c…

eess.SY2016

Evaluation of Automated Vehicles in the Frontal Cut-in Scenario - an Enhanced Approach using Piecewise Mixture Models

Zhiyuan Huang, Ding Zhao, Henry Lam +2

Evaluation and testing are critical for the development of Automated Vehicles (AVs). Currently, companies test AVs on public roads, which is very time-consuming and inefficient. We…