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Detection of Hostile Aircraft Behaviors using Dynamic Bayesian Networks
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))
Aeronautics, Saab AB, Linköping, Sweden.
2013 (English)In: Proceedings of the 16th International Conference on Information Fusion, IEEE Press, 2013, 2033-2040 p.Conference paper (Refereed)
Abstract [en]

Aircraft Combat Survivability in military air operations is concerned with survival of the own aircraft. This entails analysis of information, detection and estimation of threats, and the implementation of actions to counteract detected threats. Beyond visual range weapons can today be fired from one hundred kilometers away, making them difficult to detect and track. One approach for providing early warnings of such threats is to analyze the kinematic behavior of enemy aircraft in order to detect situations that may point to malicious intent. In this paper we investigate the use of dynamic Bayesian networks for detecting hostile aircraft behaviors.

Place, publisher, year, edition, pages
IEEE Press, 2013. 2033-2040 p.
Keyword [en]
threat assessment, situation detection, situation recognition, behavior recognition, behavior detection
National Category
Computer Systems
Research subject
URN: urn:nbn:se:his:diva-9094ScopusID: 2-s2.0-84890828056ISBN: 978-605-86311-1-3OAI: oai:DiVA.org:his-9094DiVA: diva2:719035
16th International Conference on Information Fusion, Istanbul, July 9-12, 2013
Knowledge Foundation, 2010/0320
Available from: 2014-05-22 Created: 2014-05-20 Last updated: 2014-05-23Bibliographically approved

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