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
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;
Conference_Titel :
Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4577-0267-9