Progress in deploying large-scale fusion systems has been slow in recent years despite substantial algorithmic developments. One reason is that there has not been a way to address a large-scale enterprise in a tractable manner that allows modular and collaborative evolution of fusion algorithms. Information and data modeling techniques have become quite mature over the past 20 years so that it is now possible to model the information domain of a large-scale enterprise tractably. By extending information modeling constructs to semantic and inference nets, it is possible to use these information models as a basis for large-scale fusion. This paper shows how to instrument an information model into a fusion inference structure. Algorithms encapsulation and computing techniques are discussed This approach could lead to foundations for large-scale fusion in defense, intelligence, law enforcement, and air traffic control systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-hypothesis database for large-scale data fusion


    Contributors:


    Publication date :

    2002-01-01


    Size :

    786333 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multi-Hypothesis Database for Large-Scale Data Fusion

    McDaniel, D. / International Society of Information Fusion / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002


    Hierarchical multi-hypothesis tracking with application to multi-scale sensor data

    Coraluppi, S. / Carthel, C. / Mallick, M. | IEEE | 2002


    6.0207 Hierarchical Multi-Hypothesis Tracking with Application to Multi-Scale Sendor Data

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002


    Multi-hypothesis structures and taxonomies for combat identification fusion

    Schuck, T.M. / Bockett Hunter, J. / Wilson, D.D. | IEEE | 2004


    Hypothesis Management for Information Fusion

    Jones, E.K. | Online Contents | 2003