Cargando…
A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds
The paper presents the results of testing a proposed image-based point clouds measuring method for geometric parameters determination of a railway track. The study was performed based on a configuration of digital images and reference control network. A DSLR (digital Single-Lens-Reflex) Nikon D5100...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876754/ https://www.ncbi.nlm.nih.gov/pubmed/29509679 http://dx.doi.org/10.3390/s18030791 |
_version_ | 1783310574670577664 |
---|---|
author | Gabara, Grzegorz Sawicki, Piotr |
author_facet | Gabara, Grzegorz Sawicki, Piotr |
author_sort | Gabara, Grzegorz |
collection | PubMed |
description | The paper presents the results of testing a proposed image-based point clouds measuring method for geometric parameters determination of a railway track. The study was performed based on a configuration of digital images and reference control network. A DSLR (digital Single-Lens-Reflex) Nikon D5100 camera was used to acquire six digital images of the tested section of railway tracks. The dense point clouds and the 3D mesh model were generated with the use of two software systems, RealityCapture and PhotoScan, which have implemented different matching and 3D object reconstruction techniques: Multi-View Stereo and Semi-Global Matching, respectively. The study found that both applications could generate appropriate 3D models. Final meshes of 3D models were filtered with the MeshLab software. The CloudCompare application was used to determine the track gauge and cant for defined cross-sections, and the results obtained from point clouds by dense image matching techniques were compared with results of direct geodetic measurements. The obtained RMS difference in the horizontal (gauge) and vertical (cant) plane was RMS∆ < 0.45 mm. The achieved accuracy meets the accuracy condition of measurements and inspection of the rail tracks (error m < 1 mm), specified in the Polish branch railway instruction Id-14 (D-75) and the European technical norm EN 13848-4:2011. |
format | Online Article Text |
id | pubmed-5876754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58767542018-04-09 A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds Gabara, Grzegorz Sawicki, Piotr Sensors (Basel) Article The paper presents the results of testing a proposed image-based point clouds measuring method for geometric parameters determination of a railway track. The study was performed based on a configuration of digital images and reference control network. A DSLR (digital Single-Lens-Reflex) Nikon D5100 camera was used to acquire six digital images of the tested section of railway tracks. The dense point clouds and the 3D mesh model were generated with the use of two software systems, RealityCapture and PhotoScan, which have implemented different matching and 3D object reconstruction techniques: Multi-View Stereo and Semi-Global Matching, respectively. The study found that both applications could generate appropriate 3D models. Final meshes of 3D models were filtered with the MeshLab software. The CloudCompare application was used to determine the track gauge and cant for defined cross-sections, and the results obtained from point clouds by dense image matching techniques were compared with results of direct geodetic measurements. The obtained RMS difference in the horizontal (gauge) and vertical (cant) plane was RMS∆ < 0.45 mm. The achieved accuracy meets the accuracy condition of measurements and inspection of the rail tracks (error m < 1 mm), specified in the Polish branch railway instruction Id-14 (D-75) and the European technical norm EN 13848-4:2011. MDPI 2018-03-06 /pmc/articles/PMC5876754/ /pubmed/29509679 http://dx.doi.org/10.3390/s18030791 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gabara, Grzegorz Sawicki, Piotr A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds |
title | A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds |
title_full | A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds |
title_fullStr | A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds |
title_full_unstemmed | A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds |
title_short | A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds |
title_sort | new approach for inspection of selected geometric parameters of a railway track using image-based point clouds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876754/ https://www.ncbi.nlm.nih.gov/pubmed/29509679 http://dx.doi.org/10.3390/s18030791 |
work_keys_str_mv | AT gabaragrzegorz anewapproachforinspectionofselectedgeometricparametersofarailwaytrackusingimagebasedpointclouds AT sawickipiotr anewapproachforinspectionofselectedgeometricparametersofarailwaytrackusingimagebasedpointclouds AT gabaragrzegorz newapproachforinspectionofselectedgeometricparametersofarailwaytrackusingimagebasedpointclouds AT sawickipiotr newapproachforinspectionofselectedgeometricparametersofarailwaytrackusingimagebasedpointclouds |