Titlebook: Context-Enhanced Information Fusion; Boosting Real-World Lauro Snidaro,Jesús García,Erik Blasch Book 2016 Springer International Publishin

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https://doi.org/10.1007/978-3-031-42080-1ins. This chapter identifies the implicit assumptions that require contextual analysis for decision support systems to be effective for providing a relevant threat assessment. The impacts of the design and user assumptions are related to intelligence errors and intelligence failures that come from a

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,Was sind soziale F?higkeiten?,rtain inferences. In the latter case, contextual reasoning involves inferring desired information (values of “problem variables”) on the basis of other available information (“context variables”). Relevant contexts are often not self-evident, but must be discovered or selected as a means to problem-

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https://doi.org/10.1007/978-3-031-42746-6on Fusion process designs. In this chapter, the details of a proposed middleware component are elaborated, based on the consideration of the Open System of Systems (SoS) concept and the critical concerns in such an SoS framework for maintaining data integrity and quality. The approach is developed i

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Preliminaries For (Uniform) Interpolationen if this methodology can be used in different types of fusion processes (detection, classification, etc.), we focus here on a multisensor tracking one. The objective of this combination is to supervise the classical fusion process by context analysis so that this fusion process can adapt itself to

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Thomas John Hastings,Knut-Willy S?therd within the Bayesian statistical framework, it requires the modeling of the target state evolution and the measurement process. Information on the constraints posed by the context in which the target evolves and the measurement geometry is often available. This knowledge can be modeled,?often in a

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Thomas John Hastings,Knut-Willy S?ther information that is not related directly to kinematic sensor measurements. This information, termed trafficability, is used to incorporate constraints on the vehicle that ultimately deflect the tracks to areas that provide the highest trafficable regions. For example, local terrain slope, ground ve