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dc.contributor.authorOnuorah, Chinedum Anthony
dc.contributor.authorHutton-Mckenzie, Angus
dc.contributor.authorChaychian, Sara
dc.contributor.authorSun, Yichuang
dc.contributor.authorSiau, Johann
dc.date.accessioned2019-02-22T11:10:06Z
dc.date.available2019-02-22T11:10:06Z
dc.date.issued2018-05-01
dc.identifier.citationOnuorah , C A , Hutton-Mckenzie , A , Chaychian , S , Sun , Y & Siau , J 2018 , ' Improving Displacement Measurement for Evaluating Longitudinal Road Profiles ' , IEEE Sensors Journal , vol. 18 , no. 9 , pp. 3767-3779 . https://doi.org/10.1109/JSEN.2018.2812787
dc.identifier.issn1530-437X
dc.identifier.otherPURE: 13724084
dc.identifier.otherPURE UUID: 5df36d11-7752-4ced-9263-6c8d61f42a75
dc.identifier.otherScopus: 85043402279
dc.identifier.urihttp://hdl.handle.net/2299/21150
dc.description2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractThis paper introduces a half-wavelength peak matching (HWPM) model, which improves the accuracy of vehicle based longitudinal road profilers used in evaluating road unevenness and mega-textures. In this application, the HWPM model is designed for profilers which utilize a laser displacement sensor with an accelerometer for detecting surface irregularities. The process of converting acceleration to displacement by double integration (which is used in most rofilers) is error-prone, and although there are techniques to minimize the effect of this error, this paper proposes a novel approach for improving the generated road profile results. The technique amends the vertical displacement derived from the accelerometer samples, by using data from the laser displacement sensor as a reference. The vehicle based profiler developed for this experiment (which uses the HWPM model) shows a huge improvement in detected longitudinal irregularities when compared with pre-processed results, and uses a 3-m rolling straight edge as a benchmark.en
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofIEEE Sensors Journal
dc.rightsOpen
dc.subjectAccelerometer
dc.subjectdisplacement
dc.subjectintegration error
dc.subjectlaser displacement sensor
dc.subjectInstrumentation
dc.subjectElectrical and Electronic Engineering
dc.titleImproving Displacement Measurement for Evaluating Longitudinal Road Profilesen
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionUniversity of Hertfordshire
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionRadio and Mobile Communication Systems
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85043402279&partnerID=8YFLogxK
dc.relation.schoolSchool of Engineering and Technology
dc.description.versiontypeFinal Accepted Version
dcterms.dateAccepted2018-05-01
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/JSEN.2018.2812787
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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