Conference paper Open Access

End-to-end defect detection in automated fiber placement based on artificially generated data

Sebastian Zambal; Christoph Heindl; Christian Eitzinger; Josef Scharinger


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Sebastian Zambal</dc:creator>
  <dc:creator>Christoph Heindl</dc:creator>
  <dc:creator>Christian Eitzinger</dc:creator>
  <dc:creator>Josef Scharinger</dc:creator>
  <dc:date>2019-07-16</dc:date>
  <dc:description>Sebastian Zambal, Christoph Heindl, Christian Eitzinger, Josef Scharinger, "End-to-end defect detection in automated fiber placement based on artificially generated data," Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111721G (16 July 2019). http://dx.doi.org/10.1117/12.2521739

Copyright 2019 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.</dc:description>
  <dc:identifier>https://zenodo.org/record/3354724</dc:identifier>
  <dc:identifier>10.1117/12.2521739</dc:identifier>
  <dc:identifier>oai:zenodo.org:3354724</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/721362/</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:title>End-to-end defect detection in automated fiber placement based on artificially generated data</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>
68
46
views
downloads
Views 68
Downloads 46
Data volume 46.0 MB
Unique views 57
Unique downloads 42

Share

Cite as