Data fusion algorithm for high accuracy coordinate transformation

Jingliang Lv; Chunfu Zhang; Wenyan Tang

doi:10.1117/12.821239

12 January 2009 Data fusion algorithm for high accuracy coordinate transformation

Jingliang Lv, Chunfu Zhang, Wenyan Tang

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 71332V (2009) https://doi.org/10.1117/12.821239
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

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.

Citation Download Citation

Jingliang Lv, Chunfu Zhang, and 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

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