Dissertation
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(2022): Bildbasierte Frischbetonprüfung zur digitalen Qualitätsregelung, Berichte aus dem Institut für Baustoffe, Gottfried Wilhelm Leibniz Universität Hannover Weitere Informationen
DOI: https://doi.org/10.15488/13180
ISBN: 978-3-936634-27-3
Fachartikel
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(2022): ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles, Machine Vision and Applications 33 (57)
DOI: https://doi.org/10.1007/s00138-022-01313-x
Konferenzbeiträge
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(2022): Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2022 Weitere Informationen
DOI: 10.5194/isprs-annals-V-2-2022-227-2022 -
(2022): Digitization of the Concrete Production Chain Using Computer Vision and Artificial Intelligence, Proceedings of the 6th fib Congress 2022, Oslo, Norway. Weitere Informationen
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(2022): Image-based Deep Learning for Rheology Determination of Bingham Fluids, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022, pp. 711–720 Weitere Informationen
DOI: 10.5194/isprs-archives-XLIII-B2-2022-711-2022 -
(2021): Semi-supervised segmentation of concrete aggregate using consensus regularisation and prior guidance, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2-2021, 83–91 Weitere Informationen
DOI: https://doi.org/10.5194/isprs-annals-V-2-2021-83-2021
Sonstige Publikationen
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(2022): Concrete 4.0 – Self-learning digital production techniques for sustainable concrete, BFT International, 06/2022. S. 61-62
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(2022): Slump Flow 4.0 - Digital quality control, BFT International, 06/2022. S. 73
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(2021): Computer Vision-basierte Messmethoden zur Charakterisierung von (Frisch-)Betoneigenschaften, DBV-Rundschreiben 269, S. 24-27