A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds
AbstractThe 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. View Full-Text
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Gabara, G.; Sawicki, P. A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds. Sensors 2018, 18, 791.
Gabara G, Sawicki P. A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds. Sensors. 2018; 18(3):791.Chicago/Turabian Style
Gabara, Grzegorz; Sawicki, Piotr. 2018. "A New Approach for Inspection of Selected Geometric Parameters of a Railway Track Using Image-Based Point Clouds." Sensors 18, no. 3: 791.
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