@inproceedings{KurthSchleyerPotzel,
  author    = {Kurth, Marcus and Schleyer, Carsten and Potzel, Sebastian},
  title     = {Dezentralisierte Demonstrationsfabrik mit Automatisierungskonzept nach Industrie 4.0},
  series = {National Instruments VIP-Kongress 2017, 18.-19. Oktober 2017, F{\"u}rstenfeldbruck bei M{\"u}nchen},
  pages     = {2},
  language  = {de}
}
@inproceedings{LaubeFranzUmlauf,
  author    = {Laube, Pascal and Franz, Matthias O. and Umlauf, Georg},
  title     = {Deep 3D},
  series = {GTC Europe 2017, NVIDIA GPU Technology Conference, 10.-12. Oktober 2017, ICM M{\"u}nchen},
  pages     = {28},
  language  = {en}
}
@misc{LaubeFranzUmlauf,
  author    = {Laube, Pascal and Franz, Matthias O. and Umlauf, Georg},
  title     = {Deep learning for reconstruction of highly detailed surfaces},
  series = {Summerschool der Universit{\"a}t Konstanz, Gaschurn, {\"O}sterreich, 2017},
  abstract  = {Vortrag},
  language  = {en}
}
@inproceedings{LaubeFranzUmlauf,
  author    = {Laube, Pascal and Franz, Matthias O. and Umlauf, Georg},
  title     = {Evaluation of features for SVM-based classification of geometric primitives in point clouds},
  series = {Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 8-12 May 2017, Nagoya, Japan},
  isbn      = {978-4-9011-2216-0},
  doi       = {10.23919/MVA.2017.7986776},
  pages     = {59 -- 62},
  abstract  = {In the reverse engineering process one has to classify parts of point clouds with the correct type of geometric primitive. Features based on different geometric properties like point relations, normals, and curvature information can be used, to train classifiers like Support Vector Machines (SVM). These geometric features are estimated in the local neighborhood of a point of the point cloud. The multitude of different features makes an in-depth comparison necessary. In this work we evaluate 23 features for the classification of geometric primitives in point clouds. Their performance is evaluated on SVMs when used to classify geometric primitives in simulated and real laser scanned point clouds. We also introduce a normalization of point cloud density to improve classification generalization.},
  language  = {en}
}
@inproceedings{MuellerStuermer,
  author    = {M{\"u}ller, Anette and St{\"u}rmer, Sylvia},
  title     = {Aufbereitungstechnik},
  series = {DAfStb-Fachsymposium - Beton mit rezyklierten Gesteinsk{\"o}rnungen, 20.-21.9.2017, TU Kaiserslautern},
  abstract  = {Vortrag},
  language  = {de}
}
@inproceedings{Pesi,
  author    = {Pesi, Dominic},
  title     = {Chancen und Risiken hybrider Werkstoffverbunde unter dem Gesichtspunkt der Korrosion},
  series = {GfKORR-Jahrestagung 'Herausforderungen der Energiewende', Gesellschaft f{\"u}r Korrosionsschutz e.V., 7-8.11.2017, Frankfurt am Main},
  language  = {de}
}
@inproceedings{Rothstein,
  author    = {Rothstein, Benno},
  title     = {Klimawandel},
  series = {Akademie f{\"u}r Krisenmanagement, Notfallplanung und Zivilschutz, Bad Neuenahr-Ahrweiler},
  abstract  = {Vortrag gehalten am 29.03.2017, 27.09.2017 und 13.12.2017},
  language  = {de}
}
@misc{SchallFranz,
  author    = {Schall, Martin and Franz, Matthias O.},
  title     = {Segmentation-free multi-line text recognition using LSTM networks},
  series = {Summerschool der Universit{\"a}t Konstanz, Gaschurn, {\"O}sterreich, 2017},
  abstract  = {Vortrag},
  language  = {en}
}
@misc{ScholtenFranz,
  author    = {Scholten, Anja and Franz, Matthias O.},
  title     = {The impact of low water periods on inland navigation and mass cargo affine companies under climate change conditions},
  series = {Zentralkommission f{\"u}r die Rheinschifffahrt (ZKR), Straßburg, 21.03.2017},
  abstract  = {Vortrag},
  language  = {en}
}
@misc{Schwarting,
  author    = {Schwarting, Andreas},
  title     = {Welterbe Bauhaus},
  series = {Festakt zur Erweiterung der UNESCO-Welterbest{\"a}tte Bauhaus, Bundesschule Bernau bei Berlin, 18.11.2017},
  language  = {de}
}