A blueprint for higher-level fusion systems
This paper contends that demands on the data fusion community are beginning to exceed its historical roots in sensor fusion, by requiring greater development of automated situation and impact assessments and more appropriate integration with humans engaged in fusion activity. The paper offers a seven building block blueprint for the design of higher-level fusion systems. The first building block involves a deconstruction of the JDL model to apply it beyond machine based fusion. The second addresses machine representation for automated situation and impact assessments, while the third examines machine reasoning for automated situation and impact assessments. The fourth building block then reconstructs a unified framework for automated object, situation and impact assessments so as to accommodate both of the previous building blocks and the traditional approach to sensor fusion. Distributed data fusion constitutes the subsequent building block. The automated presentation of automated situation and impact assessments serves as the sixth building block, before the issue of human involvement in higher-level fusion systems is canvassed. Existing implementations of the various building blocks are referenced rather than discussed in any detail. The aim of the paper is to expose the overarching framework for these higher-level fusion systems without recourse to their considerable underlying complexity. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.
higher-level fusion data fusion sensor fusion impact assessment jdl model information fusion situation awareness object assessment situation assessment semantic machines cognitive machines social machines higher-level fusion interfaces