Railway bridge condition assessment based on state-of-the-art reality capture technologies: application to a case study

Rafael Cabral¹, Rogério Oliveira², Diogo Ribeiro², Ricardo Santos², Miguel Azenha³, Anna Rakoczy⁴, José Correia¹, João Manuel R.S. Tavares⁵

¹ CONSTRUCT, Department of Civil Engineering, University of Porto, Porto, Portugal, Portugal

² CONSTRUCT, School of Engineering, Polytechnic of Porto, Porto, Portugal

³ ISISE, ARISE, Department of Civil Engineering, University of Minho, Guimarães, Portugal

⁴ Warsaw University of Technology, Warsaw, Poland

⁵ Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

DOI: 10.35490/EC3.2023.329

Abstract: Structural visual inspection documentation is essential for monitoring, maintaining, rehabilitating, and reinforcing structures. Close-Range Photogrammetry (CRP) and Terrestrial Laser Scanners (TLS) are cutting-edge technologies that are commonly used in surveying. In this article, these technologies were integrated to capture a railway bridge. The lower deck and lateral deck surfaces were captured using TLS, while the upper deck, track and laterals of the deck were captured using CRP-UAV photogrammetry. Post-processing techniques allowed the fusion of TLS and CRP models to produce a precise 3D model of the entire railway bridge deck.

Keywords: ContextCapture, Point cloud, railway bridge, TLS, UAV

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Railway bridge condition assessment based on state-of-the-art reality capture technologies: application to a case study

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