• DocumentCode
    2996151
  • Title

    Application of EKF in Laser/Inertial Sensors Localization System

  • Author

    Yahui, Luo ; Ping, Jiang ; Wenwu, Hu ; Yanqun, Xie

  • Author_Institution
    Coll. of Eng., Hunan Agric. Univ., Changsha, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    3369
  • Lastpage
    3372
  • Abstract
    To realize the precise localization of the field working machine, the localization system which based on Laser/ Inertial Sensors (Laser/INS) was designed. Meanwhile, the system model was established, the Extended Kalman Filtering (EKF) algorithm was proposed, and the simulation was accomplished by Matlab. The simulation results show that the location system using the filter algorithm can keep precise estimation in long time, and can locate the field working machine real-timely.
  • Keywords
    Kalman filters; agricultural machinery; inertial navigation; laser beam applications; nonlinear estimation; sensor placement; EKF; Matlab; extended Kalman filtering algorithm; field working machine; laser-inertial sensor localization system; precise estimation; Equations; Gyroscopes; Kalman filters; Laser modes; Mathematical model; Measurement by laser beam; Sensors; Extended Kalman Filtering; inertial sensor; lase; localization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.822
  • Filename
    5630678