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    Optimal estimation techniques to reduce false alarms in railway obstacle detection

    TítuloOptimal estimation techniques to reduce false alarms in railway obstacle detection
    Tipo de publicaciónConference Paper
    Año de publicación2005
    AutoresGarcia, JJ, Losada-Gutiérrez, C, Espinosa, F, Ureña, J, Hernández, Á, Mazo, M, Marzziani, CD, Jimenez, A, Álvarez, FJ
    Idioma de publicaciónEnglish
    Conference NameIEEE International Conference on Industrial Technology, 2005. ICIT 2005.
    Páginas459 - 464
    Conference LocationHong Kong
    Fecha de publicación12/2005
    Numero ISBN0-7803-9484-4
    Palabras clavecollision avoidance, filtering theory, Hinfin control, Kalman filters, principal component analysis, railway accidents
    DOI10.1109/ICIT.2005.1600682
    URLhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1600682&isnumber=33650
    Resumen

    This work presents some methods to reduce false alarms in railway obstacle detection. The sensorial system is based on one barrier of infrared emitters and another of receivers, placed on opposing sides of the railway. Obstacle detection is achieved by the lack of reception in the detectors. On the one hand, the efficiency of the system is achieved with the geometrical distribution of the sensorial system and the codification used in the emitting and receiving stages. On the other hand, optimal estimation techniques have been proposed to avoid false alarms, based on Kalman and Hinfin filtering. Principal component analysis is developed to validate the obstacle detection, and to improve the accuracy of the system. A high reliability under adverse conditions is obtained with the barrier, it being possible to detect the presence of obstacles, and to report on their position.

    AdjuntoTamaño
    ICIT-2005-JJ.pdf5.57 MB

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