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:

Authors	Institution or Email of Authors	Author's ORCID iD
Meister, Sebastian	Sebastian.Meister (at) dlr.de	https://orcid.org/0000-0002-8193-1143
Möller, Nantwin	DLR	UNSPECIFIED
Stüve, Jan	Jan.Stueve (at) dlr.de	https://orcid.org/0000-0003-1483-2476
Groves, Roger M.	R.M.Groves (at) tudelft.nl	https://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:

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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