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dc.contributor.authorNguyen, Bella
dc.contributor.authorBrilakis, Ioannis
dc.date.accessioned2018-12-12T00:31:52Z
dc.date.available2018-12-12T00:31:52Z
dc.date.issued2018-10
dc.identifier.issn1474-0346
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/286732
dc.description.abstractOver-height vehicle strikes with low bridges and tunnels are an ongoing problem worldwide. While previous methods have used vision-based systems to address the over-height warning problem, such methods are sensitive to wind. In this paper, we perform a full validation of the system using a constraint-based approach to minimize the number of over-height vehicle misclassifications due to windy conditions. The dataset includes a total of 102 over-height vehicles recorded at frame rates of 25 and 30fps. A wind analysis and vehicle displacement check are performed and classified to analyse the direction of vector displacement movements using optical flow paired with SURF feature detectors. Motion captured within the region of interest was treated as a standard two-class binary linear classification problem with 1 indicating over-height vehicle presence and 0 indicating noise. The algorithm performed with 100% recall, 83.3% precision, false positive rate of 0.2% and warning accuracy of 96.6%.
dc.description.sponsorshipCambridge Overseas Trust and European Union Grant
dc.publisherElsevier BV
dc.subjectBridge collision
dc.subjectOver-height bridge strike
dc.subjectOver-height detection system
dc.subjectOver-height vehicle
dc.subjectTunnel strike
dc.titleReal-time validation of vision-based over-height vehicle detection system
dc.typeArticle
prism.endingPage80
prism.publicationDate2018
prism.publicationNameADVANCED ENGINEERING INFORMATICS
prism.startingPage67
prism.volume38
dc.identifier.doi10.17863/CAM.34039
dcterms.dateAccepted2018-06-07
rioxxterms.versionofrecord10.1016/j.aei.2018.06.002
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-10
dc.contributor.orcidBrilakis, Ioannis [0000-0003-1829-2083]
dc.identifier.eissn1873-5320
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N021614/1)
rioxxterms.freetoread.startdate2019-10-31


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