The Module Design of Distributed Multi-sensor Information Fusion Toolbox

被引：0
|
作者：
Liang Wei [1 ]
Wang Jianhua [2 ]
Song Hui [2 ]
Hu Jianwang [1 ]
机构：
[1] Shijiazhuang Mech Engn Coll, Shijiazhuang, Peoples R China
[2] Bethune Med Coll, Dept Comp, Shijiazhuang, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING 2011 | 2011年 / 24卷
关键词：
multi-sensor information fusion; module interface; embedded M-Function; toolbox;
D O I：
10.1016/j.proeng.2011.11.2628
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In order to solve the emulation problem of distributed multi-sensor information fusion, a MATLAB toolbox is designed. From the view of the basic concepts, basic theory and data processing of information fusion, with embedded M-Function in Simulink, the distributed multi-sensor information fusion system is divided into eleven modules in the toolbox and the input and output interfaces of the modules are defined. At last an emulation example based on the toolbox proves the practicality and scientificity of the designed toolbox. The designed toolbox can effectively define the interfaces of the modules to afford one practical solution for the emulation of distributed multi-sensor information fusion system. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICAE2011.
引用
收藏
页码：208 / 213
页数：6
相关论文
共 50 条
  • [21] MULTI-SENSOR INFORMATION FUSION FOR STRUCTURAL DAMAGE DETECTION
    Bao, Yue-Quan
    Xia, Yong
    Li, Hui
    Xu, You-Lin
    PROCEEDINGS OF THE ELEVENTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING, VOL I AND II, 2010, : 1648 - 1653
  • [22] Application of fuzzy clustering in multi-sensor information fusion
    Tang, Aihong
    Zhang, Youmei
    Journal of Theoretical and Applied Information Technology, 2012, 45 (02) : 661 - 667
  • [23] A Evaluation Method for Effectiveness of Multi-Sensor Information Fusion
    He, Chenglong
    Wang, Xiaoxuan
    Yu, Yongsheng
    2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2013, : 231 - 234
  • [24] Multi-sensor Multi-OOSM Distributed Sequential Fusion Filtering
    Feng Xiaoliang
    Wen Chenglin
    Xu Lizhong
    2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 772 - 776
  • [25] Multi-sensor information fusion predictive control algorithm
    Zhao M.
    Li Y.
    Hao G.
    International Journal of Multimedia and Ubiquitous Engineering, 2016, 11 (04): : 49 - 58
  • [26] Research on NFE Model of Multi-Sensor Information Fusion
    Fan, Tiantian
    Zong, Hua
    Yu, Changjun
    Liu, Mei
    Quan, Taifan
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL II, PROCEEDINGS, 2008, : 394 - 398
  • [27] Multi-sensor Information Fusion and Its Application in Robots
    Zhang, Ran
    Wei, Jingzi
    COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION III, 2014, 443 : 299 - 302
  • [28] Survey on Robot Multi-sensor Information fusion Technology
    Zhao, Xiaochuan
    Luo, Qingsheng
    Han, Baoling
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 5019 - +
  • [29] Multi-sensor optimal information fusion Kalman filter*
    Sun, SL
    Deng, ZL
    AUTOMATICA, 2004, 40 (06) : 1017 - 1023
  • [30] AGV System Based on Multi-sensor Information Fusion
    Yuan, Peijiang
    Chen, Dongdong
    Wang, Tianmiao
    Ma, Fucun
    Ren, Hengfei
    Liu, Yuanwei
    Tan, Huanjian
    2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, : 900 - 905
12345