• DocumentCode
    3480279
  • Title

    Perception management for the guidance of unmanned vehicles

  • Author

    Jiun Keat Ong ; Ibanez-Guzman, J.

  • Author_Institution
    Singapore Inst. of Manuf. Technol.
  • Volume
    2
  • fYear
    2004
  • fDate
    1-3 Dec. 2004
  • Firstpage
    914
  • Lastpage
    919
  • Abstract
    A review of multi-sensor management for sensor fusion as applied to the guidance of unmanned vehicles is presented. The need for something more than sensor management is presented introducing the concept of perception management. The concept is information-oriented and looks into the supervision and control of multi-sensors with the purpose of enhancing the perception process. This paper proposes two perception management methods: (i) means to measure performance through the use of information theory based techniques and, (ii) a query oriented supervision system that reconfigures sensors as a function of the system operation mode and the performance being attained by all the combined sensors. In addition the concept of a design framework of perception management is outlined
  • Keywords
    information theory; remotely operated vehicles; sensor fusion; information theory based technique; multisensor control; multisensor management; multisensor supervision; perception management; perception process; query oriented supervision system; sensor fusion; sensor management; sensor reconfiguration; unmanned vehicle guidance; Content management; Data mining; Environmental management; Information analysis; Information management; Navigation; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2004 IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-8643-4
  • Type

    conf

  • DOI
    10.1109/ICCIS.2004.1460710
  • Filename
    1460710