Showing results 1 - 20 out of 27
2024
Coenen, M, Vogel, C, Schack, T & Haist, M 2024, 'Deep Concrete Flow: Deep learning based characterisation of fresh concrete properties from open-channel flow using spatio-temporal flow fields', Construction and Building Materials, vol. 411, 134809. https://doi.org/10.1016/j.conbuildmat.2023.134809
Schack, T, Coenen, M & Haist, M 2024, 'Approach to digital process control with image-based fresh concrete monitoring', BFT International, vol. 2024, no. 2.
Schack, T, Coenen, M & Haist, M 2024, 'Bildbasierte Frischbetonprüfung: Anwendung im Transportbetonwerk unter baupraktischen Randbedingungen', beton, no. 1+2, pp. 8-13.
2023
Coenen, M, Vogel, C, Schack, T & Haist, M 2023, Concrete flow transformer: predicting fresh concrete properties from concrete flow using vision transformers. in Proceedings of the 2023 European Conference on Computing in Construction (EC3). European Council on Computing in Construction (EC3). https://doi.org/10.35490/EC3.2023.222
Coenen, M, Beyer, D & Haist, M 2023, Granulometry transformer: image-based granulometry of concrete aggregate for an automated concrete production control. in Proceedings of the 2023 European Conference on Computing in Construction (EC3). European Council for Computing in Construction. https://doi.org/10.35490/EC3.2023.223
Haist, M, Schack, T, Coenen, M, Vogel, C, Beyer, D & Heipke, C 2023, 'Concrete 4.0 - Sustainable concrete construction with digital quality control', ce/papers, vol. 6, no. 6, pp. 1555-1562. https://doi.org/10.1002/cepa.2965
Link, J, Strybny, B, Divoux, T, Sowoidnich, T, Coenen, M, Gstöhl, S, Schlepütz, CM, Zuber, M, Hellmann, S, Rößler, C, Lützenkirchen, J, Heberling, F, Manneville, S, Schäfer, T, Ludwig, H-M & Haist, M 2023, 'Mechanisms of thixotropy in cement suspensions considering influences from shear history and hydration', ce/papers, vol. 6, no. 6, pp. 698-704. https://doi.org/10.1002/cepa.2810
Schack, T, Coenen, M & Haist, M 2023, 'Bildbasierte Frischbetonprüfung: Teil 3: Homogenität des Frischbetons', Beton- und Stahlbetonbau, vol. 118, no. 10, pp. 716-724. https://doi.org/10.1002/best.202300055
Schack, T, Coenen, M & Haist, M 2023, 'Bildbasierte Frischbetonprüfung – Teil 1: Konsistenz und Leimgehalt des Frischbetons', Beton- und Stahlbetonbau, vol. 118, no. 4, pp. 220-228. https://doi.org/10.1002/best.202300013
Schack, T, Coenen, M & Haist, M 2023, 'Bildbasierte Frischbetonprüfung – Teil 2: Granulometrische Eigenschaften der Gesteinskörnung', Beton- und Stahlbetonbau, vol. 118, no. 8, pp. 556-564. https://doi.org/10.1002/best.202300038
Schack, T, Coenen, M & Haist, M 2023, 'Image-based method as a new approach for digital quality control of fresh concrete', CPI Concrete Plant International, vol. 2023, no. 05, pp. 45-48.
Vogel, C, Coenen, M, Schack, T, Beyer, D & Haist, M 2023, 'Image-based analysis of fresh concrete flow: determining the correlation between flow behavior and rheological properties', ce/papers, vol. 6, no. 6, pp. 621-627. https://doi.org/10.1002/cepa.2916
2022
Coenen, M, Schack, T, Beyer, D, Heipke, C & Haist, M 2022, 'ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles', Machine vision and applications, vol. 33, no. 4, 57. https://doi.org/10.1007/s00138-022-01313-x
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, vol. 5, no. 2, pp. 227-235. https://doi.org/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. in Proceedings for the 6th fib International Congress, 2022- Concrete Innovation for Sustainability. fib Symposium, fib. The International Federation for Structural Concrete, pp. 434-443, 6th fib International Congress on Concrete Innovation for Sustainability, 2022, Oslo, Norway, 12 Jun 2022.
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 - ISPRS Archives, vol. 43, no. B2-2022, pp. 711-720. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-711-2022
Schack, T, Coenen, M & Haist, M 2022, 'Slump Flow 4.0: Digital quality control', BFT International, vol. 2022, no. 6, pp. 73.
2021
Coenen, M & Rottensteiner, F 2021, 'Pose estimation and 3D reconstruction of vehicles from stereo-images using a subcategory-aware shape prior', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 181, pp. 27-47. https://doi.org/10.48550/arXiv.2107.10898, https://doi.org/10.1016/j.isprsjprs.2021.07.006
Coenen, M, Schack, T, Beyer, D, Heipke, C & Haist, M 2021, 'Semi-Supervised Segmentation of Concrete Aggregate using Consensus Regularisation and Prior Guidance', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 5, no. 2, pp. 83-91. https://doi.org/10.5194/isprs-annals-V-2-2021-83-2021
2020
Coenen, MA 2020, 'Probabilistic Pose Estimation and 3D Reconstruction of Vehicles from Stereo Images', Doctor of Engineering, Leibniz University Hannover, Hannover. <https://publikationen.badw.de/en/046935354>
