Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung

Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung

In today's surveillance systems, a multitude of sensors are used. Thus, the data volume is clearly increasing and the human decision maker has to be supported in analyzing this data in an intelligent way. This contribution deals with the process of situation assessment, which is analyzing real-...

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Bibliographic Details
Main Author: Fischer, Yvonne (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2016
Series:Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
Subjects:
data fusion
dynamic Bayesian networks
SituationsbewusstseinSituation assessment
maritime surveillance
maritime Überwachung
Situationsanalyse
Datenfusion
situation awareness
dynamische Bayes'sche Netze
Online Access:DOAB: download the publication
DOAB: description of the publication
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Summary:In today's surveillance systems, a multitude of sensors are used. Thus, the data volume is clearly increasing and the human decision maker has to be supported in analyzing this data in an intelligent way. This contribution deals with the process of situation assessment, which is analyzing real-time data with respect to pre-modeled situations of interest with a dynamic Bayesian network. The quality of the recognition is evaluated with a maritime dataset.
Physical Description:1 electronic resource (XVI, 217 p. p.)
ISBN:KSP/1000051065
9783731504603
Access:Open Access

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