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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.