Neural Computing & Applications

, Volume 14, Issue 4, pp 273–281

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

  • Jaime Esteban
  • Andrew Starr
  • Robert Willetts
  • Paul Hannah
  • Peter Bryanston-Cross
Original Article

DOI: 10.1007/s00521-004-0463-7

Cite this article as:
Esteban, J., Starr, A., Willetts, R. et al. Neural Comput & Applic (2005) 14: 273. doi: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.

Keywords

Data fusionFrameworksIntelligent systemsEngineering guidelines

Copyright information

© Springer-Verlag London Limited 2005

Authors and Affiliations

  • Jaime Esteban
    • 1
  • Andrew Starr
    • 1
  • Robert Willetts
    • 1
  • Paul Hannah
    • 1
  • Peter Bryanston-Cross
    • 2
  1. 1.School of Mechanical, Aerospace and Civil EngineeringThe University of ManchesterManchesterUK
  2. 2.School of EngineeringUniversity of WarwickCoventryUK