• DocumentCode
    2180184
  • Title

    Future trends in multisensor integration and fusion

  • Author

    Luo, Ren C. ; Kay, Michael G. ; Lee, W. Gary

  • Author_Institution
    Center for Robotics & Intelligent Machines, North Carolina State Univ., Raleigh, NC, USA
  • fYear
    1994
  • fDate
    25-27 May 1994
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    The need for intelligent systems that can operate in an unstructured dynamic environment has created a growing demand for the use of multiple, distributed sensors. While most research in multisensor fusion has revolved around applications in object recognition-including military applications for automatic target recognition-developments in microsensor technology are encouraging more research in affordable, highly-redundant sensor networks. Three trends that are described at length are the increasing use of microsensors, the techniques that are used in the handling of partial or uncertain data, and the application of neural network techniques for sensor fusion
  • Keywords
    intelligent sensors; knowledge based systems; neural nets; sensor fusion; uncertainty handling; automatic target recognition; developments; distributed sensors; highly-redundant sensor networks; intelligent systems; microsensors; military applications; multisensor integration; neural network techniques; object recognition; research; sensor fusion; unstructured dynamic environment; Acoustic sensors; Biosensors; Intelligent robots; Intelligent sensors; Machine intelligence; Microsensors; Robot sensing systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 1994. Symposium Proceedings, ISIE '94., 1994 IEEE International Symposium on
  • Conference_Location
    Santiago
  • Print_ISBN
    0-7803-1961-3
  • Type

    conf

  • DOI
    10.1109/ISIE.1994.333122
  • Filename
    333122