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Laser triangulation measurement for AFP monitoring

Sebastian Zambal


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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>This data set was acquired in the context of EU project ZAero. This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under grant agreement No 721362. Project duration: 2016/10/01 - 2019/09/30. This data set contains a HDF5 file with data used for evaluation in a SAMPE 2019 conference paper [1].</p>\n\n<p>The main data in this package is contained in a HDF5 file: zaeroFTD1.h5. There are two entries in this file:<br>\n/raw: contains the raw laser range data as acuqired during AFP lay-up<br>\n/seg: contains the manually defined segmentation that corresponds to the laser range data</p>\n\n<p>The data was acquired for preliminary test runs for AFP monitoring in the ZAero project. It contains different regions that correspond to the following labels (as defined in /seg):<br>\n1 ... gap<br>\n2 ... regular tow<br>\n3 ... overlap<br>\n4 ... fuzzball</p>\n\n<p>This data is mainly intended for testing of algorithms that perform defect detection on laser range images of AFP data.</p>\n\n<p>For more information about the HDF5 format, please visit the HDF5 Group website:<br>\nhttps://www.hdfgroup.org/solutions/hdf5/</p>\n\n<p>An example for loading and visualizing the data in Python comes with this data set:<br>\nreadDataExample.py</p>\n\n<p>=====================================<br>\nREFERENCES<br>\n=====================================</p>\n\n<p>[1]<br>\n@inproceedings{Zambal2019_SAMPE}<br>\n&nbsp; author&nbsp;&nbsp;&nbsp; = {Sebastian Zambal and Christoph Heindl and Christian Eitzinger},<br>\n&nbsp; title&nbsp;&nbsp;&nbsp;&nbsp; = {Machine Learning for CFRP Quality Control},<br>\n&nbsp; booktitle = {Conference of the Society for the Advancement of Material and Process Engineering (SAMPE), Nantes, France},<br>\n&nbsp; year&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; = {2019}<br>\n}</p>\n\n<p>[2]<br>\n@inproceedings{Zambal2019_QCAV,<br>\n&nbsp; author&nbsp;&nbsp;&nbsp; = {Sebastian Zambal and Christoph Heindl and Christian Eitzinger and Josef Scharinger},<br>\n&nbsp; title&nbsp;&nbsp;&nbsp;&nbsp; = {End-to-End Defect Detection in Automated Fiber Placement Based on Artifcially Generated Data},<br>\n&nbsp; booktitle = {Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111721G},<br>\n&nbsp; doi&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; = {DOI: 10.1117/12.2521739},<br>\n&nbsp; year&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; = {2019}<br>\n}</p>\n\n<p>&nbsp;</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "PROFACTOR GmbH", 
      "@type": "Person", 
      "name": "Sebastian Zambal"
    }
  ], 
  "url": "https://zenodo.org/record/3372341", 
  "citation": [
    {
      "@id": "https://doi.org/10.1117/12.2521739", 
      "@type": "CreativeWork"
    }
  ], 
  "datePublished": "2019-08-20", 
  "keywords": [
    "Automated Fiber Placement", 
    "Laser Triangulation"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/d1c79262-08bd-4939-9b2b-ed2ace5e1bdf/ZAero-FTD-1.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.3372341", 
  "@id": "https://doi.org/10.5281/zenodo.3372341", 
  "@type": "Dataset", 
  "name": "Laser triangulation measurement for AFP monitoring"
}
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