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.
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Takashi JO, Miki HASEYAMA, Hideo KITAJIMA, "A Map Matching Method with the Innovation of the Kalman Filtering" in IEICE TRANSACTIONS on Fundamentals,
vol. E79-A, no. 11, pp. 1853-1855, November 1996, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e79-a_11_1853/_p
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@ARTICLE{e79-a_11_1853,
author={Takashi JO, Miki HASEYAMA, Hideo KITAJIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Map Matching Method with the Innovation of the Kalman Filtering},
year={1996},
volume={E79-A},
number={11},
pages={1853-1855},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Map Matching Method with the Innovation of the Kalman Filtering
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1853
EP - 1855
AU - Takashi JO
AU - Miki HASEYAMA
AU - Hideo KITAJIMA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E79-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 1996
AB - 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.
ER -