Weighted Data Fusion Algorithm in the Application of Visual Measurement Network System

Jing Zhou; Dong Yan Huang; Shi Jun Li; Xiao Lin Chen; Ye Chi Zhang

doi:10.4028/www.scientific.net/AMM.278-280.848

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Weighted Data Fusion Algorithm in the Application...

Weighted Data Fusion Algorithm in the Application of Visual Measurement Network System

Abstract:

For the problem on the deviation of actual measurement values between different network positions of visual measurement network system , so present the weighted data fusion algorithm . To distribute the weight coefficients according to the stability of eigenvector and fuse the coordinates , finally get the ultimate expression of fusion estimate. The experiment results present the maximum absolute tolerance of the fusion results is 0.039mm via the weighted data fusion algorithm, the maximum one via traditional data fusion algorithm of the center of point set is 0.056mm , Repeatedly measure 50 times , compared with the traditional algorithm, proposed weighted data fusion algorithm has much better precision and better stability.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

848-851

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.848

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Online since:

January 2013

Authors:

Jing Zhou, Dong Yan Huang, Shi Jun Li, Xiao Lin Chen, Ye Chi Zhang

Keywords:

Network Position, Visual Measurement Network, Weighted Data Fusion

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