• 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