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A Map Matching Method with the Innovation of the Kalman Filtering

Takashi JO, Miki HASEYAMA, Hideo KITAJIMA

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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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E79-A No.11 pp.1853-1855
Publication Date
1996/11/25
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section LETTER (Special Section of Letters Selected from the 1996 IEICE General Conference)
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