DocumentCode :
651067
Title :
Enhanced outdoor localization of multi-GPS/INS fusion system using Mahalanobis Distance
Author :
Yun-Ki Kim ; Seung-Hwan Choi ; Jang-Myung Lee
Author_Institution :
Dept. of Electr. Eng., Pusan Nat. Univ., Busan, South Korea
fYear :
2013
fDate :
Oct. 30 2013-Nov. 2 2013
Firstpage :
488
Lastpage :
492
Abstract :
This paper describes the implementation of system estimating outdoor position system with three GPS and one IMU sensor. The accuracy of three low-cost GPS which have large instantaneous error are supplemented by using The center of the triangular method and system that has more accurate estimation of position is designed by combining three GPS and one IMU sensor through EKF. And also data values overflowed are eliminated to gain more precise data values with utilization of Mahalanobis Distance. Through experiment, it can verify the results compared single GPS and multi-GPS position error, and then calibrated mobile robot position estimation results can be found.
Keywords :
Global Positioning System; Kalman filters; computational geometry; image fusion; inertial navigation; mobile robots; nonlinear filters; robot vision; EKF; IMU sensor; Mahalanobis distance; data values; enhanced outdoor localization; extended Kalman filter; instantaneous error; mobile robot position estimation; multi GPS-INS fusion system; outdoor position system estimation; the-center-of-the triangular method; EKF; INS; Localization; Multi-GPS; Outdoor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
Type :
conf
DOI :
10.1109/URAI.2013.6677320
Filename :
6677320
Link To Document :
بازگشت