Title :
Land Vehicle Dynamics-Aided Inertial Navigation
Author :
Wang, J.-H. ; Gao, Y.
Author_Institution :
Applanix, Trimble Co. Canada, Richmond Hill, ON, Canada
Abstract :
The major challenge of using low-cost micro-electro-mechanical-system (MEMS) inertial navigation system (INS) is the rapid navigation error drift when the aiding sensors are unavailable. A self-contained dynamics-aided error correction method is developed to overcome this problem. Additional measurements are generated to update the navigation filter and control the navigation error based on the knowledge of land vehicle dynamics. The contribution of the proposed dynamics-aided method to INS/GPS navigation during long GPS outages has been demonstrated through field tests.
Keywords :
Global Positioning System; Kalman filters; inertial navigation; micromechanical devices; INS GPS navigation; Kalman filters; dynamics-aided error correction method; land vehicle dynamics-aided inertial navigation; microelectro-mechanical-system; navigation error drift; navigation filter; Global Positioning System; Inertial navigation; Land vehicles; Predictive models; Sensors; Vehicle dynamics;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2010.5595584