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Open AccessArticle

Automated Three-Dimensional Linear Elements Extraction from Mobile LiDAR Point Clouds in Railway Environments

by Luis Gézero 1,2,* and Carlos Antunes 1,3
1
Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
2
LandCOBA, Digital Cartography Consulting Lda, Av. 5 de Outubro, 323, 1649-011 Lisboa, Portugal
3
Instituto Dom Luiz, Universidade de Lisboa, 1749-016 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Infrastructures 2019, 4(3), 46; https://doi.org/10.3390/infrastructures4030046
Received: 27 June 2019 / Revised: 24 July 2019 / Accepted: 26 July 2019 / Published: 30 July 2019
The railway structures need constant monitoring and maintenance to ensure the train circulation safety. Quality information concerning the infrastructure geometry, namely the three-dimensional linear elements, are crucial for that processes. Along with this work, a method to automated extract three-dimensional linear elements from point clouds collected by terrestrial mobile LiDAR systems along railways is presented. The proposed method takes advantage of the stored cloud point’s attributes as an alternative to complex geometric methods applied over the point’s cloud coordinates. Based on the assumption that the linear elements to extract are roughly parallel to the rail tracks and therefore to the system trajectory, the stored scan angle value was used to restrict the number of cloud points that represents the linear elements. A simple algorithm is then applied to that restricted number of points to get the three-dimensional polylines geometry. The obtained values of completeness, correctness and quality, validate the use of the methodology for linear elements extraction from mobile LiDAR data gathered along railway environments. View Full-Text
Keywords: railway; mobile LiDAR; point cloud; object recognition; railway tracks; ballast; break-line railway; mobile LiDAR; point cloud; object recognition; railway tracks; ballast; break-line
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MDPI and ACS Style

Gézero, L.; Antunes, C. Automated Three-Dimensional Linear Elements Extraction from Mobile LiDAR Point Clouds in Railway Environments. Infrastructures 2019, 4, 46.

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