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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.
Jingliang Lv,Chunfu Zhang, andWenyan Tang
"Data fusion algorithm for high accuracy coordinate transformation", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71332V (12 January 2009); https://doi.org/10.1117/12.821239
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Jingliang Lv, Chunfu Zhang, Wenyan Tang, "Data fusion algorithm for high accuracy coordinate transformation," Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71332V (12 January 2009); https://doi.org/10.1117/12.821239