Quality and safety assurance of railway tracks by UAV

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dc.authorscopusid24450062700
dc.contributor.authorBettemir O.H.
dc.date.accessioned2024-08-04T20:04:01Z
dc.date.available2024-08-04T20:04:01Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.descriptionComputers and Information in Engineering Division;Design Engineering Divisionen_US
dc.descriptionASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2015 -- 2 August 2015 through 5 August 2015 -- 119755en_US
dc.description.abstractSafety assurance of railway tracks is an important task because defects on the railway track may cause trains to be derailed. Unfortunately, there are many fatal train crashes reported in Turkey, Spain and India caused by derailment of the trains. Besides the fatalities, derailment of the trains causes significant economic losses, delay of the timetables and discomfort. Manually investigating the railway tracks are substantially time consuming and expensive. In addition to this, it is human dependent so that the task is prone to error, which may end up without noticing important defects. In this study, a robust and economical method, which automates the investigation of railway tracks, is proposed. The proposed method scans the railway track by a high-resolution optic camera mounted on an UAV. Obtained optic images of the railway track are georeferenced by automatically extracting the Ground Control Points (GCP). The railway track is extracted from the optic image by edge detection. Afterward, any defect on the railway track such as missing bolt or damage on the sleepers and any impropriety of ballasts can be detected by performing image analysis techniques. Advantages of the optic system are its lightweight, higher georeferencing accuracy, and low power consumption. Sony HX300 DSLR camera with 20.4 MP resolution is calibrated on the ground and optical images are obtained at similar imaging geometry. For this reason, flight altitude is fixed as 12 foot above the railway track. The optical camera is mounted on quadcopter, which has 6 kg of maximum take-off weight. The system is tested in Pittsburgh and satisfactory initial test results are obtained. Consequently, site tests showed that the proposed robust and economic system is a good candidate to be implemented for monitoring the railway tracks. © Copyright 2015 by ASME.en_US
dc.identifier.doi10.1115/DETC2015-47537
dc.identifier.isbn9780791857199
dc.identifier.scopus2-s2.0-84978997879en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1115/DETC2015-47537
dc.identifier.urihttps://hdl.handle.net/11616/92302
dc.identifier.volume9en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAmerican Society of Mechanical Engineers (ASME)en_US
dc.relation.ispartofProceedings of the ASME Design Engineering Technical Conferenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCamerasen_US
dc.subjectDamage detectionen_US
dc.subjectDefectsen_US
dc.subjectDerailmentsen_US
dc.subjectDesignen_US
dc.subjectEdge detectionen_US
dc.subjectEmbedded systemsen_US
dc.subjectGeometrical opticsen_US
dc.subjectImage processingen_US
dc.subjectLossesen_US
dc.subjectRailroad tracksen_US
dc.subjectRock mechanicsen_US
dc.subjectSafety engineeringen_US
dc.subjectTransportationen_US
dc.subjectUnmanned aerial vehicles (UAV)en_US
dc.subjectEconomical methodsen_US
dc.subjectGround control pointsen_US
dc.subjectHigh resolution opticsen_US
dc.subjectImage analysis techniquesen_US
dc.subjectImaging geometryen_US
dc.subjectLow-power consumptionen_US
dc.subjectQuality and safetiesen_US
dc.subjectSafety assuranceen_US
dc.subjectRailroadsen_US
dc.titleQuality and safety assurance of railway tracks by UAVen_US
dc.typeConference Objecten_US

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