A dynamic programming method for matching rail-track monitoring data

Touw, JW van der; Veevers, A.

doi:10.1057/palgrave.jors.2601623

Cited by 1 publication

(1 citation statement)

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“…In [1], a study conducted on inspection of the bottoms of railway carriers is presented and detection of missing, damaged, and foreign objects is conducted via multispectral imaging exploiting both visible and near-infrared spectrum. In [2], railway track is inspected and several geometric properties of the railway track are recorded and condition monitoring is done by comparing the results of a current run with those of a previously recorded reference run. A machine-vision approach is developed to automate inspection of specific components of the track structure in [3].…”

Section: Introductionmentioning

confidence: 99%

Railway Fastener Inspection by Real-Time Machine Vision

Aytekin

Rezaeitabar

Dogru

et al. 2015

IEEE Trans. Syst. Man Cybern, Syst.

136

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In this paper, a real-time railway fastener detection system using a high-speed laser range finder camera is presented. First, an extensive analysis of various methods based on pixel-wise and histogram similarities are conducted on a specific railway route. Then, a fusing stage is introduced which combines least correlated approaches also considering the performance upgrade after fusing. Then, the resulting method is tested on a larger database collected from a different railway route. After observing repeated successes, the method is implemented on NI LabVIEW and run real-time with a high-speed 3-D camera placed under a railway carriage designed for railway quality inspection.Index Terms-High-speed laser range finder, railway fastener detection, railway inspection

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Section: Introductionmentioning

confidence: 99%