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Study of weighted fusion methods for the measurement of surface geometry

Wang, Jian, Pagani, Luca, Leach, Richard K., Zeng, Wenhan, Colosimo, Bianca M. and Zhou, Liping (2017) Study of weighted fusion methods for the measurement of surface geometry. Precision Engineering, 47. pp. 111-121. ISSN 0141-6359

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Four types of weighted fusion methods, including pixel-level, least-squares, parametrical and non-parametrical, have been classified and theoretically analysed in this study. In particular, the uncertainty propagation of the weighted least-squares fusion was analysed and its relation to the Kalman filter was studied. In cooperation with different fitting models, these four weighted fusion methods can be applied to a range of measurement challenges. The experimental results of this study show that the four weighted fusion methods compose a computationally efficient and reliable system for multi-sensor measurement problems, especially for freeform surface measurement. A comparison of weighted fusion with residual approximation-based fusion has also been conducted by providing the input datasets with different noise levels and sample sizes. The results demonstrated that weighted fusion and residual approximation-based fusion are complementary approaches applicable to most fusion scenarios.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
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Depositing User: Luca Pagani
Date Deposited: 03 Nov 2016 16:35
Last Modified: 28 Aug 2021 12:09


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