This paper proposes an artificial vision algorithm capable of extracting road vehicles in front of a stereo system as well as determining the distance between the stereo system and the detected vehicles. The algorithm transforms stereo perspective images into a virtual top-view. Using edge information of the transformed stereo images, polar accumulation functions (PAFs) are formed. Two processes called spatial and temporal peak joining are introduced to search for corresponding peaks between PAFs based on dynamic programming, which solves the typical stereo correspondence problem without a disparity computation. The proposed algorithm has been proven to be successful through a lot of experiments in various environments.


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    Titel :

    Detection of road obstacles using dynamic programming for remapped stereo images to a top-view


    Beteiligte:
    Ki Yong Lee, (Autor:in) / Joon Woong Lee, (Autor:in) / Myeong Rai Cho, (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    941696 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Detection of Road Obstacles Using Dynamic Programming for Remapped Stereo Images to a Top-View

    Lee, K. Y. / Lee, J. W. / Cho, M. R. et al. | British Library Conference Proceedings | 2005


    Extraction of road region using stereo images

    Okutomi, M. / Noguchi, S. | Tema Archiv | 1998


    Continuous estimation of the road plane for measuring obstacles using a stereo rig

    Rossig, C. / Herrmann, R. / Hotter, M. | IET Digital Library Archive | 1997


    Dense stereo using pivoted dynamic programming

    Torr, P. H. / Criminisi, A. | British Library Online Contents | 2004