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
Metadata only available from this repository.Abstract
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 |
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Subjects: | T Technology > TJ Mechanical engineering and machinery |
Schools: | School of Computing and Engineering |
Related URLs: | |
Depositing User: | Luca Pagani |
Date Deposited: | 03 Nov 2016 16:35 |
Last Modified: | 28 Aug 2021 12:09 |
URI: | http://eprints.hud.ac.uk/id/eprint/29699 |
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