Enhanced outdoor localization of multi-GPS/INS fusion system using Mahalanobis Distance

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.

[1]  N. El-Sheimy,et al.  Expectation Maximization Based GPS/INS Integration for Land-Vehicle Navigation , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[2]  Dong-Hwan Hwang,et al.  Attitude Determination GPS/INS Integration System Design Using Triple Difference Technique , 2012 .

[3]  Yu-Cheol Lee,et al.  EKF localization with lateral distance information for mobile robots in urban environments , 2011, 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

[4]  Chan Gook Park,et al.  Lever Arm Compensation for GPS/INS/Odometer Integrated System , 2006 .

[5]  Jun Zhou,et al.  Integrated INS/GPS System for an Autonomous Mobile Vehicle , 2007, 2007 International Conference on Mechatronics and Automation.

[6]  Sunglok Choi,et al.  Autonomous navigation of mobile robot based on DGPS/INS sensor fusion by EKF in semi-outdoor structured environment , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Gert F. Trommer,et al.  Tightly coupled GPS/INS integration for missile applications , 2004 .

[8]  Jay A. Farrell,et al.  Magnetometer and differential carrier phase GPS-aided INS for advanced vehicle control , 2003, IEEE Trans. Robotics Autom..

[9]  Kai-Wei Chiang,et al.  An intelligent navigator for seamless INS/GPS integrated land vehicle navigation applications , 2008, Appl. Soft Comput..

[10]  Frank Dellaert,et al.  Place recognition-based fixed-lag smoothing for environments with unreliable GPS , 2008, 2008 IEEE International Conference on Robotics and Automation.

[11]  Jeong-Whan Lee,et al.  A Study of High Precision Position Estimator Using GPS/INS Sensor Fusion , 2012 .

[12]  Eun-Hwan Shin,et al.  Accuracy Improvement of Low Cost INS/GPS for Land Applications , 2002 .

[13]  Sungshin Kim,et al.  An accurate localization for mobile robot using extended Kalman filter and sensor fusion , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).