Fischer, Yvonne <br/><br/>
Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung 

 -  KIT Scientific Publishing  2016 
 - 1 electronic resource (XVI, 217 p. p.) 
<br/><br/> Open Access 
<br/><br/> 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. 
<br/><br/><br/>Creative Commons 
<br/><br/><br/>German 
<br/><br/><label>ISBN: </label>KSP/1000051065 9783731504603 
<br/><br/><label>Standard No.: </label>10.5445/KSP/1000051065  doi 
<br/><br/><label>Subjects--Index Terms: </label>data fusion dynamic Bayesian networks SituationsbewusstseinSituation assessment maritime surveillance maritime Überwachung Situationsanalyse Datenfusion situation awareness dynamische Bayes’sche Netze