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  • 标题:A COMPREHENSIVE REVIEW OF THE MULTI-SENSOR DATA FUSION ARCHITECTURES
  • 本地全文:下载
  • 作者:EHSAN AZIMIRAD ; JAVAD HADDADNIA ; ALI IZADIPOUR
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:71
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:With the development of computer science and hardware implementation instrumentation in various areas of industry, more and more diverse data have become available. Multi-sensor Data fusion is a technology that contains the combining and analysis of data and information from multiple sensors in order to form a more accurate situation awareness and determine how to respond to it. Data fusion technologies emerged in various military and non-military applications such as battlefield surveillance, guidance and control of autonomous vehicles, monitoring of complex machinery, medical diagnosis, and smart buildings. Applications for multi-sensor data fusion are widespread, thus a common (universal or unique) data fusion implementation framework isn't possible and unique data fusion architecture don�t recommended in diverse areas of applications. This paper present a comprehensive review of data fusion architecture, and exploring its conceptualizations, benefits, and challenging aspects, as well as existing architectures.
  • 关键词:Fusing data; target tracking; data fusion architectures; data fusion framework
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