Automatic neutral section passing control device based on image recognition for electric locomotives

Dixiang Chen, Mengchun Pan, Wugang Tian, Wuqiang Yang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Conventionally, a neutral section is operated manually by drivers according to break/close markers along railways, when an electric locomotive is passing the section. Because of the increase in trains' speed, neutral section passing control devices with magnets on ground and onboard detection coils are used in some countries. This paper presents a new automatic onboard neutral section passing control device based on image recognition. It is designed to reduce the costs of installation and maintenance compared with the existing devices. An industrial smart camera is used as a kernel processor, which has high reliability and a high processing speed. The new device can recognize the break/close markers along a railway by detection of image edges. The break/close time is optimized by calculation of image size of break/close markers. With this device not only the distance between the train and break/close markers can be determined but also the train's speed can be calculated. © 2010 IEEE.
    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings|IEEE Int. Conf. Imaging Syst. Tech., IST - Proc.
    Place of PublicationUSA
    PublisherIEEE
    Pages385-388
    Number of pages3
    ISBN (Print)9781424464944
    DOIs
    Publication statusPublished - 2010
    Event2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Thessaloniki
    Duration: 1 Jul 2010 → …

    Conference

    Conference2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010
    CityThessaloniki
    Period1/07/10 → …

    Keywords

    • Edge detection
    • Electric locomotive
    • Image recognition
    • Neutral section passing device
    • Smart camera

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