A photo-realistic driving simulation system for mixed-reality traffic experiment space
A photo-realistic driving simulation system for mixed-reality traffic experiment space
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DOI：
10.1109/ivs.2005.1505194
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发表时间：
2005-06
期刊：
影响因子：
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通讯作者：
Shintaro Ono;†. KoichiOgawara;M. Kagesawa;Hiroshi Kawasaki;M. Onuki;Jun-ichi Abeki;¶. ToruYano;¶. MasamiNerio;K. Honda;K. Ikeuchi;Ltd. Chodai Co.
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文献类型：
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作者：
Shintaro Ono;†. KoichiOgawara;M. Kagesawa;Hiroshi Kawasaki;M. Onuki;Jun-ichi Abeki;¶. ToruYano;¶. MasamiNerio;K. Honda;K. Ikeuchi;Ltd. Chodai Co.
在本文中，我们提出了一个高效和有效的图像生成系统的“混合现实交通实验空间”，一个增强的驾驶/交通模拟系统，我们一直在开发可持续的ITS项目在东京大学。传统的驾驶模拟器通过一组基于图像的对象来表示他们的视图，这导致了较少的照片真实性和数据集构建的巨大人力成本。我们介绍了我们的图像/几何为基础的混合方法，以实现更真实感的看法，在同一时间以更少的人力成本。数据集的图像是由安装在数据采集车上的多个摄像机从真实的世界捕获的。通过合成图像数据集来创建系统的视图。主要介绍了数据采集和视图绘制的细节。
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.