• DocumentCode
    497603
  • Title

    Monitoring of reliability in Bayesian identification

  • Author

    Krüger, Max ; Kratzke, Nane

  • Author_Institution
    Industrieanlagen-BetriebsgesellschaftmbH (IABG), Ottobrunn, Germany
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    1241
  • Lastpage
    1248
  • Abstract
    Identification of tracked objects is a key capability of surveillance and information systems for air, surface (maritime), ground, and space environments. It improves situational awareness and offers decision support to operational users. Bayesian-style identification processes provide an identity as result. As input for taking further operational action, judgement of the remaining uncertainty is important. An operational user needs to know, how much he can rely upon the provided identification result. In this contribution, a typical Bayesian identification process is described and analyzed with respect to the support of an operational user in judging the reliability of an identification result. Measures proposed in literature do not completely fulfill the requirements of operational users. Existing approaches only deal with selected aspects of reliability. Therefore, relevant aspects of the overall reliability are considered in this paper. In addition, a set of appropriate measures is proposed, which corresponds to these aspects.
  • Keywords
    Bayes methods; reliability; target tracking; Bayesian fusion; Bayesian identification process; information systems; reliability monitoring; situational awareness; surveillance; Aerospace industry; Bayesian methods; Ergonomics; Information systems; Military standards; Monitoring; Surveillance; Uncertainty; Bayesian Fusion; Identification; Monitoring of Reliability; Operational User; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2009. FUSION '09. 12th International Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-0-9824-4380-4
  • Type

    conf

  • Filename
    5203696