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