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多分辨率多传感器动态数据的融合和应用
引用本文:王志武,丁国清,颜国正,林良明. 多分辨率多传感器动态数据的融合和应用[J]. 上海交通大学学报, 2002, 36(7): 953-956
作者姓名:王志武  丁国清  颜国正  林良明
作者单位:上海交通大学,信息检测技术与仪器系,上海,200030
基金项目:国家高技术研究发展计划 ( 86 3)资助项目 ( 992 1-0 1)
摘    要:基于线性均方估计建立了q叉树的多尺度自回归模型。该模型应用于分布式多分辨率多传感器进行建模,可实现多分辨率多传感器的动态数据融合。将该算法用于高精度划线切割机器人系统中多传感器的建模,实现了型钢划线切割过程中型钢边缘的动态检测。实验结果表明,多分辨率多传感器数据融合可消除噪声的干扰,提高检测系统的测量精度和整个加工系统的加工精度。

关 键 词:多传感器 动态数据融合 q叉树 边缘检测 型材划线切割机器人 多尺度自回归模型 多分辨率
文章编号:1006-2467(2002)07-0953-04
修稿时间:2001-07-06

Multiresolution Multisensor Dynamic Data Fusion and Application
WANG Zhi-wu,DING Guo-qing,YAN Guo-zheng,LIN Liang-ming. Multiresolution Multisensor Dynamic Data Fusion and Application[J]. Journal of Shanghai Jiaotong University, 2002, 36(7): 953-956
Authors:WANG Zhi-wu  DING Guo-qing  YAN Guo-zheng  LIN Liang-ming
Abstract:A class of multiscale autoregression model based on qth-order tree was introduced and the algorithm is based on the linear mean square estimaiton. The model was applied to deal with the problem of distributed multiresolution dynamic data fusion. The model was also applied to model the multisensor in high precision marking-cutting robot system and to do the dynamic measurement of profiled bars' edge in the marking and cutting process. The experimental result shows that the multiresolution multisensor data fusion can denoise and enhance the precision of measuring and machining of the system.
Keywords:multisensor  dynamic data fusion  qth-order tree  edge measurement
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