• DocumentCode
    277969
  • Title

    A methodology for distributed AI and its applicability for data fusion applications

  • Author

    Martin, Sean C. ; Slade, Andrew J.

  • Author_Institution
    Cambridge Consultants Ltd., UK
  • fYear
    1991
  • fDate
    33273
  • Firstpage
    42614
  • Lastpage
    42618
  • Abstract
    As a greater variety and combination of sensors are used, there is an increasing need for intelligent data fusion supported by concurrent processing. As yet, there is little relevant design experience with this technology. However, the Consensus project is producing a methodology that is directly relevant for such applications. The paper considers the nature of data fusion, describes the scope of the Consensus project and presents an overview of the initial version of the methodology
  • Keywords
    artificial intelligence; data handling; detectors; distributed processing; multiprocessing programs; Consensus; artificial intelligence; concurrent processing; data fusion; distributed AI; sensors;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Principles and Applications of Data Fusion, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    180997