Konferenzbeiträge

• Coenen M., Meyer M., Beyer D., Heipke C., Haist M. (2024): Computer Vision as Key to an Automated Concrete Production Control,  Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC)
  DOI: https://doi.org/10.22260/ISARC2024/0005
• Meyer, M., Langer, A., Mehltretter, M., Beyer, D., Coenen, M., Schack, T., Haist, M. and Heipke, C. (2024): Image-based Deep Learning for the time-dependent prediction of fresh concrete properties,  ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume X-2-2024
  DOI: https://doi.org/10.5194/isprs-annals-X-2-2024-145-2024
• 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
• Haist M., Schack T., Coenen M., Vogel C., Beyer D., and Heipke C. (2023): Concrete 4.0 - Sustainable concrete construction with digital quality control,  ce/papers 6(6):1555-1562.
  DOI: 10.1002/cepa.2965
• 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