Konferenzbeiträge

• Coenen, M., Beyer, D., and Haist, M. (2023): Granulometry Transformer: Image-based Granulometry of Concrete Aggregate for an automated Concrete Production Control,  Proceedings of the 2023 European Conference on Computing in Construction (EC3)
  DOI: 10.35490/EC3.2023.223
• Coenen, M.; Beyer, D.; Heipke, C.; Haist, M. (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, pp. 227–235
  DOI: 10.5194/isprs-annals-V-2-2022-227-2022
• Haist, M.; Heipke, C.; Beyer, D.; Coenen, M.; Schack, T.; Vogel, C.; Ponick, A.; Langer, A. (2022): Digitization of the Concrete Production Chain Using Computer Vision and Artificial Intelligence,  Proceedings of the 6th fib Congress: June 2022. Oslo, Norway. Weitere Informationen
• Ponick, A.; Langer, A.; Beyer, D.; Coenen, M.; Haist, M.; Heipke, C. (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
  DOI: 10.5194/isprs-archives-XLIII-B2-2022-711-2022