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Proceedings Paper

Data fusion algorithm for high accuracy coordinate transformation
Author(s): Jingliang Lv; Chunfu Zhang; Wenyan Tang
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Paper Abstract

A new data fusion algorithm is proposed to improve the coordinate transformation while geometrical measurements are made using laser tracker together with multi-joint measuring arms. A target ball was used as the common point for the laser tracker to directly measure the central coordinate of the target ball, and the multi-joint measurement arms were used to indirectly measure the central coordinate of the target ball by measuring the surface of the target ball. A least square coordinate transformation model based on Cartesian coordinate difference was established,according to the principle of least distance residual error for the coordinates of common points before and after coordinate transformation. The effectiveness of this approach was verified through experiments. Several common points were located within the range of multi-joint measurement arms so that the laser tracker could also measure them in the same way, and consequently the fusion of data from the different apparatus could be realized. Experiment results showed that this data fusion algorithm was effective, feasible and exhibit higher calculation accuracy.

Paper Details

Date Published: 12 January 2009
PDF: 7 pages
Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71332V (12 January 2009); doi: 10.1117/12.821239
Show Author Affiliations
Jingliang Lv, Harbin Institute of Technology (China)
North East Forestry Univ. (China)
Chunfu Zhang, Harbin Institute of Technology (China)
Wenyan Tang, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 7133:
Fifth International Symposium on Instrumentation Science and Technology
Jiubin Tan; Xianfang Wen, Editor(s)

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