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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. 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 |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
| Journal or Publication Title: | NEURAL COMPUTING & APPLICATIONS |
| Publisher: | SPRINGER |
| ISSN: | 0941-0643 |
| Date: | December 2005 |
| Volume: | 14 |
| Number: | 4 |
| Number of Pages: | 9 |
| Page Range: | pp. 273-281 |
| Identification Number: | 10.1007/s00521-004-0463-7 |
| Publication Status: | Published |
| URI: | http://wrap.warwick.ac.uk/id/eprint/34379 |
Data sourced from Thomson Reuters' Web of Knowledge
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