Title :
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
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;
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
DOI :
10.1109/CESA.2006.4281617
