• DocumentCode
    2410623
  • Title

    Localization of small objects with electric sense based on kalman filter

  • Author

    Lebastard, V. ; Chevallereau, C. ; Girin, A. ; Boyer, F. ; Gossiaux, P.B.

  • Author_Institution
    IRCCyN-Ecole des Mines de Nantes, Nantes, France
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    1137
  • Lastpage
    1142
  • Abstract
    Electric fish feel the perturbations of a self-generated electric field through their electro-receptive skin. This sense allows them to navigate and reconstruct their environment in conditions where vision and sonar cannot work. In this article, we use a sensor bio-inspired from this active sense to address the problem of small objects reconstruction and electrolocation. Based on a Kalman filter, any small object in the surrounding of the motion controlled sensor can be encapsulated into an equivalent sphere whose location is well estimated by the filter. Experimental results illustrate the feasibility of the approach.
  • Keywords
    Kalman filters; autonomous underwater vehicles; biomimetics; electric field measurement; electric sensing devices; mobile robots; motion control; object detection; Kalman filter; active sensing; autonomous underwater vehicle; bio-inspired sensor; electric fish; electric sense; electro-receptive skin; environment reconstruction; motion controlled sensor; navigation; self-generated electric field perturbation; small object electrolocation; small object localization; small object reconstruction; Current measurement; Electrodes; Kalman filters; Probes; Robot sensing systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224824
  • Filename
    6224824