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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    Title :

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


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


    Publication date :

    2005-01-01


    Size :

    1078253 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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