Dataset Open Access

Laser triangulation measurement for AFP monitoring

Sebastian Zambal


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3372341", 
  "language": "eng", 
  "title": "Laser triangulation measurement for AFP monitoring", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        20
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Sebastian Zambal"
    }
  ], 
  "type": "dataset", 
  "id": "3372341"
}
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