Recent market deployment of smart mobile devices which feature synchronous stereo image acquisition has raised the question whether such devices can be used for real-time 3D environment reconstruction by stereovision. In this paper, we propose a stereovision approach that can run in real-time on smart mobile devices, and we evaluate its potential for developing driving assistance functions. The stereo approach is a sparse approach: edges are detected in the left image, correspondent right image points are determined using area-based matching, and each left-right pair of points is mapped in 3D by triangulation. Our experiments have proved that despite the limitations imposed by the mobile device, both reconstruction accuracy at short-medium distances and real-time processing can be achieved. Thus, developing driving assistance functions with such devices is possible for low vehicle speeds / short range scenarios, which often occur in urban environments.


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    Titel :

    Stereovision for obstacle detection on smart mobile devices: First results


    Beteiligte:
    Oniga, Florin (Autor:in) / Trif, Alexandra (Autor:in) / Nedevschi, Sergiu (Autor:in)


    Erscheinungsdatum :

    2013-10-01


    Format / Umfang :

    794929 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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