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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.
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https://hal.inria.fr/inria-00332472
Contributor : Cindy Cappelle <>
Submitted on : Tuesday, October 21, 2008 - 9:54:41 AM
Last modification on : Tuesday, November 24, 2020 - 2:18:22 PM

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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. ⟨inria-00332472⟩

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