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A comparison of two approaches for situation detection in an air-to-air combat scenario
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre.
2013 (English)In: Modeling Decisions for Artificial Intelligence, Springer Berlin/Heidelberg, 2013, 70-81 p.Conference paper (Refereed)
Abstract [en]

Combat survivability is an important objective in military air operations, which involves not being shot down by e.g. enemy aircraft. This involves analyzing data and information, detecting and estimating threats, and implementing actions to counteract threats. Beyond visual range missiles can today be fired from one hundred kilometers away. At such distances, missiles are difficult to detect and track. The use of techniques for recognizing hostile aircraft behaviors can possibly be used to infer the presence and for providing early warnings of such threats. In this paper we compare the use of dynamic Bayesian networks and fuzzy logic for detecting hostile aircraft behaviors.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2013. 70-81 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8234
National Category
Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-8717DOI: 10.1007/978-3-642-41550-0_7Scopus ID: 2-s2.0-84893212658ISBN: 978-3-642-41549-4 OAI: oai:DiVA.org:his-8717DiVA: diva2:683276
Conference
10th International Conference, MDAI 2013, Barcelona, Spain, November 20-22, 2013
Available from: 2014-01-03 Created: 2014-01-03 Last updated: 2014-02-28Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • vancouver
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Language
  • de-DE
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  • nn-NB
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More languages
Output format
  • html
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  • asciidoc
  • rtf