A proposal to simulate driving scene of sag zones in highway by using image-based rendering

Shintaro Ono, Koichi Ogawara, Masataka Kagesawa, Hiroshi Kawasaki, Masaaki Onuki, Ken Honda, Katsushi Ikeuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have been developing an efficient and effective image generation system for "Mixed- Reality Traffic Experiment Space", an enhanced traffic/driving simulation system as one part of the "Sustainable ITS Project" at The University of Tokyo. Unlike conventional driving simulators, our system represents the view through image/geometry-based hybrid method to realize high photo-reality with less human cost. Images for datasets are captured from real world, and the view for the simulation system is created by synthesizing the image dataset and conventional polygon-based simulator. We are planning to apply this system to a sag zone in Tomei Expressway in Japan, where subtle changes of road gradient often causes traffic congestions. Using our system, we can re-create the situation with rich photo-reality and also expected to help human/psychological analysis of a driver. This paper describes the outline of our plan mainly targeting some technical problems and representing our proposing rendering method.

Original languageEnglish
Title of host publicationIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
Pages5277-5287
Number of pages11
Publication statusPublished - Dec 1 2009
Externally publishedYes
Event12th World Congress on Intelligent Transport Systems 2005 - San Francisco, CA, United States
Duration: Nov 6 2005Nov 10 2005

Publication series

NameIntelligent Transportation Society of America - 12th World Congress on Intelligent Transport Systems 2005
Volume9

Other

Other12th World Congress on Intelligent Transport Systems 2005
CountryUnited States
CitySan Francisco, CA
Period11/6/0511/10/05

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Transportation
  • Automotive Engineering
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Science Applications

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