Measurement Error Compensation Using Data Fusion Technique for Laser Scanner on AACMMs

摘要

Non-contact measurement is widely used for free-form surface inspection due to its effectiveness and convenience. However, the non-contact measurement accuracy is one order less than tactile probe. In this paper, a method of error analysis and compensation for a laser scanner on Articulated Arm Coordinate Measuring Machines (AACMMs) is presented. Based on the constrained optimization algorithm, the coordinate transformation is obtained between low accuracy data and high accuracy data. The deviations between the reference points to the datum are calculated. The average deviation as an error compensation value is used to correct other point clouds for reducing the measurement system errors. Experimental results show that this method can improve the accuracy of laser scanning data on AACMMs.