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| Autore: |
Fischer Yvonne
|
| Titolo: |
Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung
|
| Pubblicazione: | KIT Scientific Publishing, 2016 |
| Descrizione fisica: | 1 online resource (XVI, 217 p. p.) |
| Soggetto non controllato: | data fusion |
| Datenfusion | |
| dynamic Bayesian networks | |
| dynamische Bayes'sche Netze | |
| maritime surveillance | |
| maritime Überwachung | |
| situation awareness | |
| Situationsanalyse | |
| SituationsbewusstseinSituation assessment | |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung ![]() |
| ISBN: | 1000051065 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Tedesco |
| Record Nr.: | 9910346775403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |