DocumentCode :
2121633
Title :
A Precise Road Network Modeling and Map Matching for Vehicle Navigation
Author :
Wang, Chenhao ; Hu, Zhencheng ; Uchimura, Keiichi
Author_Institution :
Grad. Sch. of Sci. & Technol., Kumamoto Univ., Kumamoto
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
1084
Lastpage :
1089
Abstract :
In this paper, we describe a precise road model for vehicle localization and map matching for the purpose of driver assistance. This model utilizes the prevalent digital road map and road points (´IP´ points) such as: intersection points and supporting points with orientation variation, to estimate road curvature in two-dimensional alignment. In our work, road geometries such as clothoid curve and circle are used to reconstruct road shape, which was approximated by piece-wise lines before. Therefore, we design the whole network modeling consisting of ´IP´ points, linear segments and curve segments. And new map matching approach is also proposed according to different segments. Finally, in order to test the performance of this model in practical situation, we employed VICNAS system with new hybrid vehicle localization approach combining commercial GPS and inertial sensors, and experimental results verified the effectiveness and efficiency of our approach.
Keywords :
curve fitting; driver information systems; image reconstruction; road vehicles; GPS; VICNAS system; curve segment; digital road map; driver assistance; inertial sensor; intersection point; linear segment; map matching; precise road network modeling; road curvature estimation; road geometry; road shape reconstruction; two-dimensional alignment; vehicle localization; vehicle navigation; Costs; Global Positioning System; Intelligent networks; Intelligent transportation systems; Intelligent vehicles; Navigation; Road vehicles; Shape; Spatial databases; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
Type :
conf
DOI :
10.1109/ITSC.2008.4732642
Filename :
4732642
Link To Document :
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