GPS/INS Data Fusion for Land Vehicle Localization

Author

Cappelle, C. ; Pomorski, D. ; Yang, Y.

Author_Institution

Lab. d´´Automatique, Univ. des Sci. et Technol. de Lille

Volume

1

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

21

Lastpage

27

Abstract

For the land vehicle positioning, we need an accuracy that the actual sensors can´t provide singly. So, we classically 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

Keywords

Global Positioning System; Kalman filters; inertial navigation; receivers; road vehicles; sensor fusion; sensors; traffic engineering computing; Kalman filter; complementary sensors; data fusion; global positioning system receiver; inertial navigation system receiver; land vehicle localization; land vehicle positioning; Automotive engineering; Data engineering; Dead reckoning; Frequency synchronization; Global Positioning System; Inertial navigation; Land vehicles; Military satellites; Sensor systems; Systems engineering and theory; Data Fusion; Global Positioning System (GPS); Inertial Navigation System (INS); Kalman Filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Engineering in Systems Applications, IMACS Multiconference on

Conference_Location

Beijing

Print_ISBN

7-302-13922-9

Electronic_ISBN

7-900718-14-1

Type

conf

DOI

10.1109/CESA.2006.4281617

Filename

4281617