• DocumentCode
    549201
  • Title

    Situation and threat assessment for urban scenarios in a distributed adaptive system

  • Author

    van den Broek, S.P. ; Hanckmann, P. ; Ditzel, M.

  • Author_Institution
    TNO, The Hague, Netherlands
  • fYear
    2011
  • fDate
    5-8 July 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    An approach for decision support, consisting of situation and threat assessment is described, as part of a distributed and adaptive multi-sensor fusion engine. The decision support module combines the management and assessment components for situations and threats. The situation assessment determines relations between observed and geographical objects. Threat assessment relates the situations and other object information to threats. The threat assessment approach is based on a rule based expert system, implemented in one or more Bayesian networks. Results are presented for an example scenario in an urban environment.
  • Keywords
    Bayes methods; sensor fusion; Bayesian network; adaptive multisensor fusion engine; decision support module; distributed adaptive system; distributed multisensor fusion engine; rule based expert system; situation assessment; threat assessment; urban scenario; Bayesian methods; Buildings; Context; Engines; Green products; History; Sensors; decision support; fusion engine; situation assessment; threat assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4577-0267-9
  • Type

    conf

  • Filename
    5977642