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A conceptual framework for automatic situation assessment

 
: Fischer, Yvonne; Bauer, Alexander; Beyerer, Jürgen

:
Preprint urn:nbn:de:0011-n-1859483 (208 KByte PDF)
MD5 Fingerprint: b7ee492dded1897ab2eafe6d3f5958b0
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Created on: 7.7.2012


Institute of Electrical and Electronics Engineers -IEEE-:
1st IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2011 : 22-24 February, Miami Beach, Florida, USA
New York, NY: IEEE, 2011
ISBN: 978-1-61284-785-6
pp.234-239
International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA) <1, 2011, Miami/Fla.>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
high-level data fusion; situation assessment; situation awareness; situational modeling; surveillance system

Abstract
Humans make decisions on the basis of their situation awareness and it is well-known that insufficient situation awareness leads to incorrect decisions. The challenge of an advanced surveillance system for supporting situation awareness of a human decision maker is therefore to detect and assess complex situations that evolve over time. In this article, we present a conceptual framework for automatic situation assessment that consists of four parts, namely the situation characterization, the situation abstraction, the situation recognition and the situation projection. The situation itself can be described at several different levels of abstraction. The proposed framework can be used as a guideline when designing automatic situation assessment processes.

: http://publica.fraunhofer.de/documents/N-185948.html