A review of data fusion models and architectures: Towards engineering guidelines
UNSPECIFIED. (2005) A review of data fusion models and architectures: Towards engineering guidelines. NEURAL COMPUTING & APPLICATIONS, 14 (4). pp. 273-281. ISSN 0941-0643Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/s00521-004-0463-7
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|
|Official Date:||December 2005|
|Number of Pages:||9|
|Page Range:||pp. 273-281|
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