期刊文献+

物联网信息融合技术及存在的问题研究 被引量:9

Research of information fusion technologies and existing problems in Internet of things
下载PDF
导出
摘要 针对物联网信息融合问题进行了简要阐述,指出物联网信息融合技术分为数据级融合、特征级融合和决策级融合三个层次。从融合技术的原理、适用领域以及技术之间差异性等方面对不同类型技术进行了较为全面的评述。在此基础上,指出了物联网信息融合过程中存在的问题和挑战,分析了有待进一步研究的方向。 This paper gave a review about the information fusion problem in the Internet of things. It divided the information fusion technologies in the Internet of things into three main classes : data-level fusion, feature-level fusion, and decision-level fusion. It also made a comprehensive commentary on the different types of technologies from the principle, applicability and the differences between themselves. On this basis, it showed the problems and challenges existing in the information fusion process in the Internet of things, and put forward several research directions in the future as well.
作者 王洪波
出处 《计算机应用研究》 CSCD 北大核心 2013年第8期2252-2255,2261,共5页 Application Research of Computers
关键词 物联网 信息融合 信息感知 数据级融合 特征级融合 决策级融合 Internet of things information fusion information sensing data-level fusion feature-level fusion decision-level fusion
  • 相关文献

参考文献46

  • 1SUNDMAEKER H, GUILLEMIN P, FRIESS P, et al. Vision and challenges for realising the Internet of things[M]. Brussels: Publica- tions Office of the European Union, 2010: 1-2.
  • 2International Telecommunication Union (ITU) Strategy and Policy Unit (SPU). ITU Intemet Reports 2005, The Internet of things[ R]. Geneva: International Telecommunication Union, 2005.
  • 3NAKAMURA E F, LOUREIRO A A F, FRERY A C. Information fu- sion for wireless sensor networks: methods, models, and classifica- tions[J]. ACM Computer Survey,2007,39(3) : 1-55.
  • 4MECHITOV K, SUNDRESH S, KWON Y, et al. Cooperative trac- king with binary detection sensor networks [ C ]//Proc of the 1 st Inter- national Conference on Embedded Networked Sensor Systems. New York: ACM Press, 2003: 332-333.
  • 5崔逊学,周强,方震.基于三圆交集的二值传感器网络目标跟踪快速算法[J].计算机研究与发展,2011,48(S2):21-27. 被引量:1
  • 6BESL P J, McKAY N D. A method for registration of 3-D shapes [ J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1992,14(2) :239-256.
  • 7刘繁明,屈昊.ICP算法的鲁棒性改进[J].仪器仪表学报,2004,25(z1):603-605. 被引量:5
  • 8杨明,董斌,王宏,张钹,Helder Araújo.基于激光雷达的移动机器人实时位姿估计方法研究[J].自动化学报,2004,30(5):679-687. 被引量:11
  • 9BURT P J, ADELSON E H. The Laplacian pyramid as a compact image code[ J ]. IEEE Trans on Communications, 1983,31 (4) : 532-540.
  • 10TOET A. Image fusion by a rat io of low-pass pyramid [ J ]. Pattern Recognition Letters,1989 ,9(4) :245-253.

二级参考文献128

共引文献173

同被引文献101

引证文献9

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部