This paper presents a Bayesian network framework for situation assessment. The framework is generated from a set of technical requirements that would be a prerequisite for any situation assessment system. It is shown that Bayesian networks readily satisfy these requirements and produce a system that readily fits into the Endsley (1995) description of situation assessment. The framework can also be seen as part of the observe and orientate components of the OODA loop paradigm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Situation assessment using graphical models


    Beteiligte:
    Bladon, P. (Autor:in) / Hall, R.J. (Autor:in) / Wright, W.A. (Autor:in)


    Erscheinungsdatum :

    01.01.2002


    Format / Umfang :

    409384 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Situation Assessment Using Graphical Models

    Bladon, P. / Hall, R. J. / Wright, W. A. et al. | British Library Conference Proceedings | 2002


    Unified situation modeling and understanding using hierarchical graphical model

    Fouopi,P.P. / Thomaidis,G. / Knake-Langhorst,S. et al. | Kraftfahrwesen | 2014


    Situation Assessment Using Uncertain Data

    Pavlik, Rick / Gerken, Mark / Houghton, Carl et al. | AIAA | 2010


    Situation Assessment using Uncertain Data

    Pavlik, R. / Gerken, M. / Houghton, C. et al. | British Library Conference Proceedings | 2010


    Recurrent Models for Lane Change Prediction and Situation Assessment

    Scheel, Oliver / Nagaraja, Naveen Shankar / Schwarz, Loren et al. | IEEE | 2022