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dc.contributor.authorVick, Steven
dc.contributor.authorBrilakis, Ioannis
dc.date.accessioned2018-07-12T14:01:39Z
dc.date.available2018-07-12T14:01:39Z
dc.date.issued2018
dc.identifier.issn0887-3801
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/278061
dc.description.abstractPoor performance in transportation construction is well-documented, with an estimated $114.3 billion in global annual cost overrun. Studies aimed at identifying the causes highlighted traditional project management functions like progress monitoring as the most important contributing factors. Current methods for monitoring progress on road construction sites are not accurate, consistent, reliable, or timely enough to enable effective project control decisions. Automating this process can address these inefficiencies. The detection of layered design surfaces in digital as-built data is an essential step in this automation. A number of recent studies, mostly focused on structural building elements, aimed to accomplish similar detection but the methods proposed are either ill-suited for transportation projects or require labelled as-built data that can be costly and time consuming to produce. This paper proposes and experimentally validates a model-guided hierarchical space partitioning data structure for accomplishing this detection in discrete regions of 3D as-built data. The proposed solution achieved an F1 Score of 95.2% on real-world data confirming the suitability of this approach.
dc.description.sponsorshipThis research is made possible through funding from the United States Air Force and the Cambridge Commonwealth and International Trust. The authors express gratitude to the Trimble Corporation for their support in lending equipment and expertise to the data collection operation.
dc.publisherAmerican Society of Civil Engineers (ASCE)
dc.subjectTransportation construction
dc.subjectProgress monitoring
dc.subjectDrones
dc.subjectAutomation
dc.titleRoad Design Layer Detection in Point Cloud Data for Construction Progress Monitoring
dc.typeArticle
prism.issueIdentifier5
prism.numberARTN 04018029
prism.publicationDate2018
prism.publicationNameJOURNAL OF COMPUTING IN CIVIL ENGINEERING
prism.volume32
dc.identifier.doi10.17863/CAM.25402
dcterms.dateAccepted2018-02-14
rioxxterms.versionofrecord10.1061/(ASCE)CP.1943-5487.0000772
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-09
dc.contributor.orcidVick, Steven [0000-0002-4902-480X]
dc.contributor.orcidBrilakis, Ioannis [0000-0003-1829-2083]
dc.identifier.eissn1943-5487
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Commission (334241)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N021614/1)
cam.issuedOnline2018-05-25
rioxxterms.freetoread.startdate2019-05-25


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