Paper
20 May 2009 Design of 3D measurement system based on multi-sensor data fusion technique
Weiguang Zhang, Jun Han, Xun Yu
Author Affiliations +
Abstract
With the rapid development of shape measurement technique, multi-sensor approach becomes one of valid way to improve the accuracy, to expend measuring range, to reduce occlusion, to realize multi-resolution measurement, and to increase measuring speed simultaneously. Sensors in multi-sensor system can have different system parameters, and they may have different measuring range and different precision. Light sectioning method is one of useful measurement technique for 3D profile measurement. It is insensitive to the surface optical property of 3D object, has scarcely any demand on surrounding. A multi-sensor system scheme, which uses light sectioning method and multi-sensor data fusion techniques, is presented for blade of aviation engine and spiral bevel gear measurement. The system model is developed to build the relationship between measuring range & precision and system parameters. The system parameters were set according to system error analysis, measuring range and precision. The result shows that the system is more universal than it's ancestor, and that the accuracy of the system is about 0.05mm for the 60× 60mm2 measuring range, and that the system is successful for the aero-dynamical data curve of blade of aviation engine and tooth profile of spiral bevel gear measurement with 3600 multi-resolution measuring character.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weiguang Zhang, Jun Han, and Xun Yu "Design of 3D measurement system based on multi-sensor data fusion technique", Proc. SPIE 7283, 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 728314 (20 May 2009); https://doi.org/10.1117/12.828632
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Cited by 1 scholarly publication.
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KEYWORDS
3D metrology

Cameras

Imaging systems

Data fusion

Sensors

Calibration

Error analysis

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