Multiple-sensor integration of vision and touch probe sensors has been shown to be a feasible approach for rapid and high-precision coordinate acquisition [Shen, T. S., Huang, J., and Meng, C. H., 2000, “Multiple-sensor integration for rapid and high-precision coordinate metrology,” IEEE/ASME Trans. Mechatron. 5, pp. 110–121]. However, the automation of coordinate measurements is still hindered by unknown surface areas that cannot be digitized using the vision system due to occlusions. It is identified that the estimation and reasoning of unknown surface areas, and automatic sensor planning using multiple sensors are two key issues. In order to advance multiple-sensor integration technologies toward a fully automatic and agile coordinate metrology, information integration algorithms for estimating and reasoning unknown surface areas, and an automatic multiple-sensor planning environment are developed in this paper. Experimental and simulation results are also demonstrated.
Multiple-Sensor Planning and Information Integration for Automatic Coordinate Metrology
Contributed by the Computer Aided Product Development Committee for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received Feb. 2001; revised May 2001. Associate Editor: D. Rosen.
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Shen, T., Huang, J., and Menq, C. (May 1, 2001). "Multiple-Sensor Planning and Information Integration for Automatic Coordinate Metrology ." ASME. J. Comput. Inf. Sci. Eng. June 2001; 1(2): 167–179. https://doi.org/10.1115/1.1385827
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