GPS/INS Data Fusion for Land Vehicle Localization

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