Esteban, JaimeStarr, Andrew G.Willetts, RobertHannah, PaulBryanston-Cross, Peter2016-04-182016-04-182005-06-21Esteban, J. Starr, A. Willetts, R. Hannah, P. Bryanston-Cross, P. A review of data fusion models and architectures: Towards engineering guidelines. Neural Computing & Applications. December 2005, Volume 14, Issue 4, pp 273-2810941-0643https://dspace.lib.cranfield.ac.uk/handle/1826/9826http://dx.doi.org/10.1007/s00521-004-0463-7This 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.enThe final publication is available at Springer via http://dx.doi.org/10.1007/s00521-004-0463-7Data fusionFrameworksIntelligent systemsIntelligent systemsArticle