Thousands of miles of railroad track must be inspected twice weekly by a human inspector to maintain safety standards. A computer vision system, consisting of field-acquired video and subsequent analysis, could improve the efficiency of the current methods. Such a system is prototyped, and the following challenges are addressed: the detection, segmentation, and defect assessment of track components whose appearance vary across different tracks and the identification and inspection of special track areas such as track turnouts. An algorithm that utilizes the periodic manner in which track components repeat in an inspection video is developed. Spectral estimation and signal-processing methods are used to provide robust detection of the periodically occurring track components. Results are demonstrated on field-acquired images and video.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automated Visual Inspection of Railroad Tracks


    Contributors:


    Publication date :

    2013-06-01


    Size :

    1264571 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Automated Visual Inspection of Railroad Tracks

    Resendiz, E | Online Contents | 2013



    A BI-OBJECTIVE RAILROAD TRACKS INSPECTION PLANNING PROBLEM

    Farhangi, Hadi / Konur, Dincer / Long, Suzanna et al. | British Library Conference Proceedings | 2015


    Long range obstacle detection on automated railroad tracks

    Scherer, F. / Schuster, P. / Möckel, S. | Tema Archive | 2003


    AUTOMATED CLEANING DEVICE FOR INSULATION SEPARATORS ON RAILROAD TRACKS

    LEE SANG CHEOL | European Patent Office | 2024

    Free access