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    Vision-Based Blind Spot Detection Using Optical Flow

    TitleVision-Based Blind Spot Detection Using Optical Flow
    Publication TypeJournal Article
    Año de publicación2007
    AutoresSotelo, MA, Barriga, J, Fernández, D, Parra, I, Naranjo, JE, Marron, M, Gavilán, M
    Idioma de publicaciónEnglish
    JournalLecture Notes in Computer Science
    Volumen4739
    Páginas1113-1118
    Fecha de publicación02/2007
    Lugar de publicaciónBerlin/Heideberg
    EditorialSpringer-Verlag
    Rank in category62/71
    JCR CategoryComputer Science, Theory & Methods
    Palabras claveBlind zone, computer vision, intelligent vehicles, optical flow
    JCR Impact Factor0.402
    ISSN0302-9743
    URLhttp://www.springerlink.com/content/t372500g4j22/#section=379081&page=1&locus=0
    DOI10.1007/978-3-540-75867-9
    Abstract

    This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a
    car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.

    Resumen

    This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a
    car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of cars in the blind spot is carried out using computer vision techniques, based on optical flow and data clustering, as described in the following lines.

    AttachmentSize
    sotelo_visionbasedblindspotlncsversion.pdf167.55 KB