• DocumentCode
    263184
  • Title

    Characterization of hard and soft sources of information: A practical illustration

  • Author

    Jousselme, Anne-Laure ; Boury-Brisset, Anne-Claire ; Debaque, Benoit ; Prevost, Donald

  • Author_Institution
    Defense R & D Canada - Valcartier, Quebec City, QC, Canada
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Physical sensors (hard sources) and humans (soft sources) have complementary features in terms of perception, reasoning, memory. It is thus natural to combine their associated information for a wider coverage of the diversity of the available information and thus provide an enhanced situation awareness for the decision maker. While the fusion domain mainly considers (although not only) the processing and combination of information from hard sources, conciliating these two broad areas is gaining more and more interest in the domain of hard and soft fusion. In order to better understand the diversity and specificity of sources of information, we propose a functional model of a source of information, and a structured list of dimensions along which a source of information can be qualified. We illustrate some properties on a real data gathered from an experiment of light detection in a fog chamber involving both automatic and human detectors.
  • Keywords
    sensor fusion; decision maker; fog chamber; hard fusion; information combination; information hard sources; information processing; information soft sources; light detection; physical sensors; soft fusion; Cameras; Cognition; Containers; Frequency measurement; Sensor phenomena and characterization; Uncertainty; Detection; Hard and soft fusion; Quality; Sources; UR-REF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2014 17th International Conference on
  • Conference_Location
    Salamanca
  • Type

    conf

  • Filename
    6916207