• DocumentCode
    2351184
  • Title

    GPS/INS enhancement using neural networks for autonomous ground vehicle applications

  • Author

    Kaygisiz, Burak H. ; Erkmen, Aydan M. ; Erkmen, Ismet

  • Author_Institution
    Defence Ind. Res. & Dev. Inst., Sci. & Tech. Res. Council of Turkey, Ankara, Turkey
  • Volume
    4
  • fYear
    2003
  • fDate
    27-31 Oct. 2003
  • Firstpage
    3763
  • Abstract
    We propose in this paper a method to enhance the performance of a coupled global positioning/inertial navigation system (GPS/INS) for both air and land navigation applications during the GPS signal loss. Our method is based on using an artificial neural network (ANN) to intelligently aid the GPS/INS coupled navigation system in the absence of GPS signals. The proposed enhanced GPS/INS is used in the very dynamic environment of a tour of an autonomous van on the METU campus and we provide the results here. Our GPS/INS+ANN system performance is thus demonstrated with the land trials.
  • Keywords
    Global Positioning System; feedforward neural nets; inertial navigation; mobile robots; multilayer perceptrons; remotely operated vehicles; GPS signal loss; GPS/INS enhancement; air navigation; artificial neural network; autonomous ground vehicle; autonomous van; global positioning system; inertial navigation system; land navigation; Artificial intelligence; Artificial neural networks; Global Positioning System; Inertial navigation; Intelligent networks; Land vehicles; Neural networks; Performance loss; System performance; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2003. (IROS 2003). Proceedings. 2003 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7860-1
  • Type

    conf

  • DOI
    10.1109/IROS.2003.1249740
  • Filename
    1249740