Railway fastener inspection by real-time machine vision

Caglar Aytekin, Yousef Rezaeitabar, Sedat Dogru, Ilkay Ulusoy

    Research output: Contribution to journalArticleScientificpeer-review

    137 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)1101-1107
    Number of pages7
    JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
    Volume45
    Issue number7
    DOIs
    Publication statusPublished - 1 Jul 2015
    Publication typeA1 Journal article-refereed

    Keywords

    • High-speed laser range finder
    • railway fastener detection
    • railway inspection

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Computer Science Applications
    • Human-Computer Interaction
    • Software
    • Control and Systems Engineering
    • Electrical and Electronic Engineering

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