• DocumentCode
    2700713
  • Title

    Research on geomagnetic-matching localization algorithm for unmanned underwater vehicles

  • Author

    Ren, Zhixin ; Chen, Longwei ; Zhang, Hui ; Wu, Meiping

  • Author_Institution
    Coll. of Electromech. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    1025
  • Lastpage
    1029
  • Abstract
    This paper presents a new algorithm for underwater geomagnetic-matching localization. The idea is rooted from image registration and workpiece localization problem. One essential elements of the new algorithm is an algorithm to solve transformation between two point sets. A related problem to this is fitting of two point sets (FTPS). In this paper, FTPS is first introduced and formulated to a least-squares problem. Then four algorithms used to solve FTPS are introduced. Another essential element of the new algorithm is iteration. The iteration method in ICCP is adopted. Based on above two aspects, the main steps of the new method are given. Simulation experiments are designed to evaluate the performance of the new algorithm. The results show that the new algorithm can solve geomagnetic-matching localization satisfactorily.
  • Keywords
    image registration; iterative methods; least squares approximations; mobile robots; path planning; telerobotics; underwater vehicles; geomagnetic-matching localization algorithm; image registration; iteration method; least-squares problem; two point sets fitting; unmanned underwater vehicles; workpiece localization problem; Algorithm design and analysis; Automation; Geomagnetism; Geophysical measurements; Global Positioning System; Image registration; Iterative algorithms; Navigation; Position measurement; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2008. ICIA 2008. International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-2183-1
  • Electronic_ISBN
    978-1-4244-2184-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2008.4608149
  • Filename
    4608149