A Map Matching Method with the Innovation of the Kalman Filtering

Takashi JO  Miki HASEYAMA  Hideo KITAJIMA  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E79-A   No.11   pp.1853-1855
Publication Date: 1996/11/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section of Letters Selected from the 1996 IEICE General Conference)
Category: 
Keyword: 
navigation system,  correlation,  Kalman filtering,  map matching,  innovation,  

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Summary: 
This letter proposes a map-matching method for automotive navigation systems. The proposed method utilizes the innovation of the Kalman filter algorithm and can achieve more accurate positioning than the correlation method which is generally used for the navigation systems. In this letter, the performance of the proposed algorithm is verified by some simulations.