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Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set

Meister, Sebastian and Möller, Nantwin and Stüve, Jan and Groves, Roger M. (2021) Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set. Journal of Intelligent Manufacturing. Springer Nature. doi: 10.1007/s10845-021-01738-7. ISSN 0956-5515.

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Official URL: https://link.springer.com/article/10.1007/s10845-021-01738-7


Item URL in elib:https://elib.dlr.de/141784/
Document Type:Article
Title:Synthetic image data augmentation for fibre layup inspection processes: Techniques to enhance the data set
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Meister, SebastianSebastian.Meister (at) dlr.dehttps://orcid.org/0000-0002-8193-1143
Möller, NantwinDLRUNSPECIFIED
Stüve, JanJan.Stueve (at) dlr.dehttps://orcid.org/0000-0003-1483-2476
Groves, Roger M.R.M.Groves (at) tudelft.nlhttps://orcid.org/0000-0001-9169-9256
Date:2 February 2021
Journal or Publication Title:Journal of Intelligent Manufacturing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s10845-021-01738-7
Publisher:Springer Nature
ISSN:0956-5515
Status:Published
Keywords:Image data augmentation Automated fiber placement Inline inspection Generative adversarial networks Laser line scan sensor
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - Production Technologies
Location: Stade
Institutes and Institutions:Institute of Composite Structures and Adaptive Systems > Composite Process Technology
Deposited By: Meister, Sebastian
Deposited On:05 May 2021 22:37
Last Modified:24 May 2022 23:47

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