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A review of data fusion models and architectures: Towards engineering guidelines
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UNSPECIFIED (2005) A review of data fusion models and architectures: Towards engineering guidelines. NEURAL COMPUTING & APPLICATIONS, 14 (4). pp. 273-281. doi:10.1007/s00521-004-0463-7 ISSN 0941-0643.
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Official URL: http://dx.doi.org/10.1007/s00521-004-0463-7
Abstract
This paper reviews the potential benefits that can be obtained by the implementation of data fusion in a multi-sensor environment. A thorough review of the commonly used data fusion frameworks is presented together with important factors that need to be considered during the development of an effective data fusion problem-solving strategy. A system-based approach is defined for the application of data fusion systems within engineering. Structured guidelines for users are proposed.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Journal or Publication Title: | NEURAL COMPUTING & APPLICATIONS | ||||
Publisher: | SPRINGER | ||||
ISSN: | 0941-0643 | ||||
Official Date: | December 2005 | ||||
Dates: |
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Volume: | 14 | ||||
Number: | 4 | ||||
Number of Pages: | 9 | ||||
Page Range: | pp. 273-281 | ||||
DOI: | 10.1007/s00521-004-0463-7 | ||||
Publication Status: | Published |
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