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Conference Papers Year : 2006

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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Dates and versions

inria-00332472 , version 1 (21-10-2008)

Identifiers

  • HAL Id : inria-00332472 , version 1

Cite

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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