Railway fastener inspection by real-time machine vision

Caglar Aytekin, Yousef Rezaeitabar, Sedat Dogru, Ilkay Ulusoy

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    143 Sitaatiot (Scopus)

    Abstrakti

    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.

    AlkuperäiskieliEnglanti
    Sivut1101-1107
    Sivumäärä7
    JulkaisuIEEE Transactions on Systems, Man, and Cybernetics: Systems
    Vuosikerta45
    Numero7
    DOI - pysyväislinkit
    TilaJulkaistu - 1 heinäk. 2015
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

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

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