A Integrated Map Matching Algorithm Based on Fuzzy Theory for Vehicle Navigation System

Author(s):  
Su Haibin ◽  
Tang Jiansheng ◽  
Hou Chaozhen
2012 ◽  
Vol 594-597 ◽  
pp. 2390-2393
Author(s):  
Wei Ying Wu ◽  
Chuan Li Kang

In vehicle navigation system, path matching often go wrong when road condition is complex, especially there are island ring, or exit and entrance of highway. This lead to wrong map display and wrong route guidance, thus system give a bad impact to driver. In order to solve this problem, this paper includes a map matching algorithm based on curvature and slope. This Algorithm coding has been realized by c and proved its availability at last.


2012 ◽  
Vol 256-259 ◽  
pp. 2947-2952 ◽  
Author(s):  
Xiao Feng Kang ◽  
Wei Ying Wu

Mistakes often occurs in map matching when road condition is complex, especially there is island ring, or exit and entrance of highway, in vehicle navigation system. Wrong map matching will lead to wrong map display and wrong route guidance, thus system gives a bad impact to driver. In order to solve this problem, this paper includes an improved map matching algorithm based on NDS, which takes curvature and slope into account. This Algorithm coding has been realized by c and proved its availability at last.


2013 ◽  
Vol 340 ◽  
pp. 767-772
Author(s):  
Lin Zhang ◽  
Bin Wang ◽  
Xue Yu Mi ◽  
Li Fen Yi

The objective of this study is to find an effective way to realize lane-level route guidance for vehicle navigation system. Based on the modeling of 3D map, a lane-level positioning method was presented by the way of combination of virtual differential GPS, height aiding, and collision detecting technique. GPS parameters were amended through virtual differential technology and height aiding technology by the way of elevation interpolation and least squares estimation in order to improve the output precision. Then a method of lane-level map matching was implemented in 3D digital map based on the collision detection technology. Tested by RTK technique, the method was proven to fulfill the demands of vehicle navigation systems.


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