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dc.contributor.authorXu, Zhigang
dc.contributor.authorWang, Mingliang
dc.contributor.authorZhang, Fengzhi
dc.contributor.authorJin, Sheng
dc.contributor.authorZhang, Jin
dc.contributor.authorZhao, Xiangmo
dc.date.accessioned2018-05-04T05:58:44Z
dc.date.available2018-05-04T05:58:44Z
dc.date.issued2017
dc.identifier.issn0197-6729
dc.identifier.doi10.1155/2017/9203251
dc.identifier.urihttp://hdl.handle.net/10072/374529
dc.description.abstractWith the advent of autonomous vehicles, in particular its adaptability to harsh conditions, the research and development of autonomous vehicles attract significant attention by not only academia but also practitioners. Due to the high risk, high cost, and difficulty to test autonomous vehicles under harsh conditions, the hardware-in-the-loop (HIL) scaled platform has been proposed as it is a safe, inexpensive, and effective test method. This platform system consists of scaled autonomous vehicle, scaled roadway, monitoring center, transmission device, positioning device, and computers. This paper uses a case of the development process of tracking control for high-speed U-turn to build the tracking control function. Further, a simplified vehicle dynamics model and a trajectory tracking algorithm have been considered to build the simulation test. The experiment results demonstrate the effectiveness of the HIL scaled platform.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherJohn Wiley & Sons
dc.relation.ispartofpagefrom9203251-1
dc.relation.ispartofpageto9203251-11
dc.relation.ispartofjournalJournal of Advanced Transportation
dc.relation.ispartofvolume2017
dc.subject.fieldofresearchApplied mathematics
dc.subject.fieldofresearchCivil engineering
dc.subject.fieldofresearchMechanical engineering not elsewhere classified
dc.subject.fieldofresearchcode4901
dc.subject.fieldofresearchcode4005
dc.subject.fieldofresearchcode401799
dc.titlePaTAVTT: A Hardware-in-the-Loop Scaled Platform for Testing Autonomous Vehicle Trajectory Tracking
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.description.versionVersion of Record (VoR)
gro.rights.copyrightCopyright © 2017 Zhigang Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorZhang, Jin


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