In this paper, we propose an efficient and effective image generation system for "mixed reality traffic experiment space", an enhanced driving/traffic simulation system, which we have been developing for sustainable ITS project at the University of Tokyo. Conventional driving simulators represent their view by a set of polygon-based objects, which leads to less photo-reality and huge human costs for dataset construction. We introduce our image/geometry-based hybrid method to realize more photo-realistic view with less human cost at the same time. Images for datasets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. The view for the system is created by synthesizing the image dataset. We mainly describe details on data acquisition and view rendering.


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    Titel :

    A photo-realistic driving simulation system for mixed-reality traffic experiment space


    Beteiligte:
    Ono, S. (Autor:in) / Ogawara, K. (Autor:in) / Kagesawa, M. (Autor:in) / Kawasaki, H. (Autor:in) / Onuki, M. (Autor:in) / Abeki, J. (Autor:in) / Yano, T. (Autor:in) / Nerio, M. (Autor:in) / Honda, K. (Autor:in) / Ikeuchi, K. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    1078253 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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