A framework for high-resolution geo-specific road database creation based on image processing techniques for driving simulation

  • Authors:
  • Dahai Guo;Arthur Weeks;Harold Klee;Xuedong Yan

  • Affiliations:
  • U.A. Whitaker School of Engineering, Florida Gulf Coast University, 10501 FGCU Blvd, S., Fort Myers, FL 33965-6565, USA;School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA;School of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA;Transportation Safety Research Director, University of Tennessee at Knoxville, Knoxville, Tennessee 37996-2010, USA

  • Venue:
  • Advances in Engineering Software
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Geo-specific road modeling is an important aspect of driving simulation studies. A challenge in this operation is that it requires intensive manual work to collect data, interpret data, and create 3D models. Each of these components is time consuming. In this research, we propose a framework for fast geo-specific road modeling based on high-resolution aerial photos. This framework has been experimented on a real driving simulator.