• DocumentCode
    3178950
  • Title

    Sensory data integration: a team consensus approach

  • Author

    Basir, Otman A. ; Shen, Helen C.

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • fYear
    1992
  • fDate
    12-14 May 1992
  • Firstpage
    1683
  • Abstract
    The authors presented an approach that can be used to integrate multisensory data. The approach treats the sensors of a multisensor system as a group of experts cooperating with each other to resolve environment ambiguities. The approach is based on a recursive team utility function that is capable of bringing the team members to a consensus. This approach is simple and computationally tractable. The approach can be applied to integrate observation in object identification, a prominent area in which multisensor systems have the potential to play an important role
  • Keywords
    image recognition; sensor fusion; uncertainty handling; image recognition; multisensory data integration; object identification; recursive team utility function; sensor fusion; team consensus; uncertainty; Bandwidth; Design engineering; Electric variables measurement; Knowledge acquisition; Mechanical sensors; Optical sensors; Performance evaluation; Robot sensing systems; Systems engineering and theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    0-8186-2720-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.1992.220136
  • Filename
    220136