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Civil-Comp Conferences
ISSN 2753-3239
CCC: 1
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 10.25

Application of close range photogrammetry in remote railways infrastructure health monitoring

A. Mirzazade1, J. Gonzalez-Libreros1, G. Sas1, C. Popescu1,2, T. Blanksvärd1 and B. Täljsten1

1Luleå University of Technology, Luleå, Sweden
2SINTEF Narvik AS, Narvik, 8517, Norway

Full Bibliographic Reference for this paper
A. Mirzazade, J. Gonzalez-Libreros, G. Sas, C. Popescu, T. Blanksvärd, B. Täljsten, "Application of close range photogrammetry in remote railways infrastructure health monitoring", in J. Pombo, (Editor), "Proceedings of the Fifth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 1, Paper 10.25, 2022, doi:10.4203/ccc.1.10.25
Keywords: photogrammetry, remote bridge inspection, railways infrastructure, 3D model generation. .

Abstract
Bridges are an essential part of railways infrastructure, and it is necessary to monitor their operation during their service life. To ensure the safety of a bridge, routine inspections are required to detect likely defect areas. Railway owners manage spread rail tracks and infrastructures, which one of the most important approach is structural health monitoring (SHM). It leads engineers to implement a package of measures for maintenance services, and follow serviceability and safety issues, which usually needs putting high amount of investments into that programs. Typically, a routine inspection consists of field measurements and visual observations made by a human inspector, and the main purpose of that is to collect documents of detected defects on infrastructures. In this study, remote inspection on a model generated by photogrammetry technique is discussed. In a practical way, by generating a 3D model with photogrammetry, inspectors can carry out visual structural health monitoring on a computer remotely. Hence, the generated model is compared with that of laser scanning, in terms of resolution and accuracy, and finally, the possibility of remote inspection of railways infrastructure is discussed.

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