GPS/INS Data Fusion for and Vehicle Localization

Abstract : For the land vehicle positioning, we need an accuracy that the actual sensors can't provide singly. So, we classicaly integrate two or more complementary sensors. In this paper, we present an algorithm based on Kalman filter, which integrates data from an Inertial Navigation System and a Global Positioning System receiver.
Type de document :
Communication dans un congrès
IMACS Multiconference, Computational Engineering in Systems Applications, CESA'2006, Oct 2006, Beijing, China. 2006
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https://hal.inria.fr/inria-00332472
Contributeur : Cindy Cappelle <>
Soumis le : mardi 21 octobre 2008 - 09:54:41
Dernière modification le : jeudi 11 janvier 2018 - 06:24:12

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  • HAL Id : inria-00332472, version 1

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Cindy Cappelle, Denis Pomorski, Yang Yanqin. GPS/INS Data Fusion for and Vehicle Localization. IMACS Multiconference, Computational Engineering in Systems Applications, CESA'2006, Oct 2006, Beijing, China. 2006. 〈inria-00332472〉

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