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

Shintaro Ono, Koichi Ogawara, Masataka Kagesawa, Hiroshi Kawasaki, Masaaki Onuki, Junichi Abeki, Tori Yano, Masami Nerio, Ken Honda, Katsushi Ikeuchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

11 被引用数 (Scopus)


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 ther 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 datesets are captured from real world by multiple video cameras mounted on a data acquisition vehicle. And the view for the system is created by synthesizing the image dataset. Following contents mainly describe details on data acquisition and view rendering.

ホスト出版物のタイトル2005 IEEE Intelligent Vehicles Symposium, Proceedings
出版ステータス出版済み - 2005
イベント2005 IEEE Intelligent Vehicles Symposium - Las Vegas, NV, 米国
継続期間: 6 6 20056 8 2005


名前IEEE Intelligent Vehicles Symposium, Proceedings


その他2005 IEEE Intelligent Vehicles Symposium
CityLas Vegas, NV

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

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