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https://hdl.handle.net/10216/158300| Author(s): | Rafael Cabral Rogério Oliveira Diogo Ribeiro Ricardo Santos Miguel Azenha Anna Rakoczy José Correia João Manuel R. S. Tavares |
| Title: | RAILWAY BRIDGE CONDITION ASSESSMENT BASED ON STATE-OF-THE-ART REALITY CAPTURE TECHNOLOGIES: APPLICATION TO A CASE STUDY |
| Issue Date: | 2023 |
| 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. (c) 2023, European Council on Computing in Construction (EC3). All rights reserved. |
| Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
| Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
| DOI: | 10.35490/ec3.2023.329 |
| URI: | https://hdl.handle.net/10216/158300 |
| Source: | Proceedings of the European Conference on Computing in Construction |
| Document Type: | Artigo em Livro de Atas de Conferência Internacional |
| Rights: | openAccess |
| Appears in Collections: | FEUP - Artigo em Livro de Atas de Conferência Internacional |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 669441.pdf | Paper | 1.4 MB | Adobe PDF |  View/Open |
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