LIDAR data processing for the inventory of the railway infrastructure
1
Department of Agricultural Surveying, Cadastre and Photogrammetry, University of Agriculture in Krakow
Submission date: 2025-10-20
Final revision date: 2025-10-28
Acceptance date: 2025-10-29
Publication date: 2026-01-03
Corresponding author
Bogusława Kwoczyńska
Katedra Geodezji Rolnej, Katastru i Fotogrametrii, Uniwersytet Rolniczy w Krakowie, ul. Balicka 253a, 30-198, Kraków, Poland
Katedra Geodezji Rolnej, Katastru i Fotogrametrii, Uniwersytet Rolniczy w Krakowie, ul. Balicka 253a, 30-198, Kraków, Poland
Geomatics, Landmanagement and Landscape 2025;(4)
KEYWORDS
TOPICS
ABSTRACT
Classic methods of geodetic and diagnostic measurements performed on railway infrastructure are characterised by the time-consuming nature of data acquisition. For highly complex structures, such as railway stations, it is not easy to collect comprehensive information about the inventoried structure. Hence, there has been a considerable increase in the demand for and use of modern measurement techniques, such as mobile and aerial laser scanning, where a compromise between the quality and speed of information acquisition is required and achievable. The paper demonstrates the possibility of using aerial laser scanning technology for the inventory and modelling of railway infrastructure. The following presentation outlines the stages of processing point clouds obtained in different coordinate systems in the TerraSolid program environment. The transformation of point clouds between the ‘1992’ and ‘2000’ systems followed the acquisition of data from a 2130 m long section of railway line in Bochnia, in the Małopolska Voivodeship. The density of the source point clouds was 11 and 17 points/m2, respectively. The transformation of the clouds into a single coordinate system enabled the creation of a point cloud with an average density of 28 points/m2. This dense point cloud, created by transforming the ‘2000’ system, formed the basis for inventorying the railway infrastructure and creating a 3D model of the studied object, using MicroStation and TerraSolid software.
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