Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

Tests for autonomous vehicles are usually made in the naturalistic driving environment where safety-critical scenarios are rare. Feng et al. propose a testing approach combining naturalistic and adversarial environment which allows to accelerate testing process and detect dangerous driving events.

Bibliographic Details
Main Authors:	Shuo Feng, Xintao Yan, Haowei Sun, Yiheng Feng, Henry X. Liu
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-02-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-021-21007-8

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spelling	doaj-13213ee58ff4430fadd8753366979e2a2021-02-07T12:12:34ZengNature Publishing GroupNature Communications2041-17232021-02-0112111410.1038/s41467-021-21007-8Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environmentShuo Feng0Xintao Yan1Haowei Sun2Yiheng Feng3Henry X. Liu4Department of Civil and Environmental Engineering, University of MichiganDepartment of Civil and Environmental Engineering, University of MichiganDepartment of Civil and Environmental Engineering, University of MichiganUniversity of Michigan Transportation Research InstituteDepartment of Civil and Environmental Engineering, University of MichiganTests for autonomous vehicles are usually made in the naturalistic driving environment where safety-critical scenarios are rare. Feng et al. propose a testing approach combining naturalistic and adversarial environment which allows to accelerate testing process and detect dangerous driving events.https://doi.org/10.1038/s41467-021-21007-8
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Shuo Feng Xintao Yan Haowei Sun Yiheng Feng Henry X. Liu
spellingShingle	Shuo Feng Xintao Yan Haowei Sun Yiheng Feng Henry X. Liu Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment Nature Communications
author_facet	Shuo Feng Xintao Yan Haowei Sun Yiheng Feng Henry X. Liu
author_sort	Shuo Feng
title	Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
title_short	Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
title_full	Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
title_fullStr	Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
title_full_unstemmed	Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
title_sort	intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2021-02-01
description	Tests for autonomous vehicles are usually made in the naturalistic driving environment where safety-critical scenarios are rare. Feng et al. propose a testing approach combining naturalistic and adversarial environment which allows to accelerate testing process and detect dangerous driving events.
url	https://doi.org/10.1038/s41467-021-21007-8
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Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

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