• DocumentCode
    1918304
  • Title

    An introduction to multi-sensor data fusion

  • Author

    Llinas, James ; Hall, David L.

  • Author_Institution
    Center for Multisource Inf. Fusion, State Univ. of New York, Buffalo, NY, USA
  • Volume
    6
  • fYear
    1998
  • fDate
    31 May-3 Jun 1998
  • Firstpage
    537
  • Abstract
    Multi-sensor data fusion is an emerging technology applied to Department of Defense (DoD) areas such as automated target recognition, battlefield surveillance, and guidance and control of autonomous vehicles, and to non-DoD applications such as monitoring of complex machinery, medical diagnosis, and smart buildings. Techniques for multi-sensor data fusion are drawn from a wide range of areas including artificial intelligence, pattern recognition, statistical estimation, and other areas. This paper provides a tutorial on data fusion, introducing data fusion applications, process models, and identification of applicable techniques. Comments are made on the state-of-the-art in data fusion
  • Keywords
    military systems; pattern recognition; sensor fusion; target tracking; weapons; DoD areas; artificial intelligence; automated target recognition; autonomous vehicles; battlefield surveillance; medical diagnosis; monitoring; multi-sensor data fusion; pattern recognition; process models; smart buildings; statistical estimation; Automatic control; Biomedical monitoring; Computerized monitoring; Condition monitoring; Intelligent vehicles; Mobile robots; Navigation; Remotely operated vehicles; Surveillance; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-4455-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1998.705329
  • Filename
    705329