This paper presents a novel algorithm of image-based motion detection for lateral driving assistance. We propose a feature-based motion detection algorithm, which combines optical-flow estimation and road plane segmentation using FOE concept. The developed algorithm can segment moving objects from a changing background efficiently. Both cars and motorcycles on the lateral side of a driving vehicle can be detected. We have realized the system in a stand-alone image processing platform, which can operate independently on a vehicle using a CMOS image sensor and embedded processor. Experimental results show that the proposed methods are effective to segment moving vehicles from a moving background for lateral safety assistance.


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    Titel :

    Lateral Driving Assistance Using Optical Flow and Scene Analysis


    Beteiligte:
    Song, Kai-Tai (Autor:in) / Chen, Hung-Yi (Autor:in)


    Erscheinungsdatum :

    2007-06-01


    Format / Umfang :

    605922 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Lateral Driving Assistance Using Optical Flow and Scene Analysis

    Song, K.-T. / Chen, H.-Y. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2007


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