A Review of data fusion models and architectures: towards engineering guidelines

Neural Computing and Applications - Tập 14 - Trang 273-281 - 2005
Jaime Esteban1, Andrew Starr1, Robert Willetts1, Paul Hannah1, Peter Bryanston-Cross2
1School of Mechanical, Aerospace and Civil Engineering, The University of Manchester, Manchester, UK
2School of Engineering, University of Warwick, Coventry, UK

Tóm tắt

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.

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