American Society of Civil Engineers


A "Reality Vision" Navigation Technique Based on Sequence Geo-Referenced Image Databases


by Qingwu Hu, (School of Remote Sensing and Information Engineering, Wuhan University, No.129, Luoyu Road, P.R. China, 430079 E-mail: qwhu@263.net Wuhan Leador Co., Ltd, Wuhan, P.R. China, 430074), Shoujun Liu, (Wuhan Leador Co., Ltd, Wuhan, P.R. China, 430074 E-mail: lsj@leador.com.cn), and Kai Mao, (Wuhan Leador Co., Ltd, Wuhan, P.R. China, 430074)
Section: Intelligent Transportation Systems, pp. 1-11, (doi:  http://dx.doi.org/10.1061/41064(358)230)

     Access full text
     Purchase Subscription
     Permissions for Reuse  

Document type: Conference Proceeding Paper
Part of: ICCTP 2009: Critical Issues In Transportation Systems Planning, Development, and Management
Abstract: Mobile storage techniques have gained rapid development together alongside 3D technology, thus making mobile terminal integrated vision navigation possible. A vision vehicle navigation system can be a useful component of intelligent transportation systems, helping people to quickly find their destinations through realistic visual navigation guidance. In this paper, we propose a "reality vision" navigation system based upon a sequence geo-referenced image database. First, a sequence geo-referenced image collection technique with a land-based mobile mapping system is described. The sequence image database and index algorithm with spatial grid is designed to obtain fast query response with an image selection algorithm. Second, the road link model with sequence image database and a related navigation mode is presented as a way to realize reality vision navigation. Finally, we describe a prototype that is supported by Windows Mobile and can run with PDA, PND. The prototype can support an image database of a whole Wuhan city with data volume above 2GB and still achieve reality vision navigation.


ASCE Subject Headings:
Databases
Intelligent transportation systems