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Open AccessArticle

Automated Inspection of Railway Tunnels’ Power Line Using LiDAR Point Clouds

1
Department of Materials Engineering, Applied Mechanics and Construction, School of Industrial Engineering, University of Vigo, 36310 Vigo, Spain
2
Department of Natural Resources and Environmental Engineering, School of Mining Engineering, University of Vigo, 36310 Vigo, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(21), 2567; https://doi.org/10.3390/rs11212567
Received: 10 September 2019 / Revised: 29 October 2019 / Accepted: 30 October 2019 / Published: 1 November 2019
Transport networks need periodic inspections to increase their safety and improve their management. In the last few years, LiDAR (light detection and ranging) technology has become a tool for helping to create a precise database of almost any type of infrastructure. Mobile laser scanning (MLS) systems use a laser beam to collect dense three dimensional (3D) point clouds, which include geometric and radiometric data of the environment in which they are placed. In the context of this paper, a methodology for automatically inspecting the clearance gauge and the deflection of the aerial contact line in railway tunnels is presented. The main objective is to compare results and verify their compliance with the Spanish norm. The 3D data are provided by a LYNX Mobile Mapper System (MMS). First, the area is surveyed and then the obtained (3D) point cloud is classified into contact wire, suspension wire, and remaining points. Finally, the inspection of the railway’s power line is performed. The validation of the proposed methodology has been carried out in three different tunnel point clouds, obtaining both qualitative and quantitative results for points’ classification, together with the results of the measures performed. View Full-Text
Keywords: mobile laser scanning (MLS); point cloud; railway tunnel; catenary; automatic inspection mobile laser scanning (MLS); point cloud; railway tunnel; catenary; automatic inspection
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MDPI and ACS Style

Sánchez-Rodríguez, A.; Soilán, M.; Cabaleiro, M.; Arias, P. Automated Inspection of Railway Tunnels’ Power Line Using LiDAR Point Clouds. Remote Sens. 2019, 11, 2567.

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