Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung

• Auteur principal: Fischer, Yvonne (auth)
• Format: Électronique Chapitre de livre
• Publié: KIT Scientific Publishing 2016
• Collection: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
• Sujets: data fusion; dynamic Bayesian networks; SituationsbewusstseinSituation assessment; maritime surveillance; maritime Überwachung; Situationsanalyse; Datenfusion; situation awareness; dynamische Bayes'sche Netze
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

Résumé

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.

Description matérielle

1 electronic resource (XVI, 217 p. p.)

ISBN

KSP/1000051065
9783731504603

Accès

Open Access