Showing results 1 - 20 out of 33
2024
Coenen, M, Meyer, M, Beyer, D, Heipke, C & Haist, M 2024, Computer Vision as Key to an Automated Concrete Production Control. in V Gonzalez-Moret, J Zhang, B García de Soto & I Brilakis (eds), Proceedings of the 41st International Symposium on Automation and Robotics in Construction. Proceedings of the International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Lille, France, pp. 26-33. https://doi.org/10.22260/ISARC2024/0005
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
Meyer, M, Langer, A, Mehltretter, M, Beyer, D, Coenen, M, Schack, T, Haist, M & Heipke, C 2024, 'Fresh Concrete Properties from Stereoscopic Image Sequences', PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, vol. 92, no. 5, pp. 517–529. https://doi.org/10.1007/s41064-024-00303-0
Meyer, M, Langer, A, Mehltretter, M, Beyer, D, Coenen, M, Schack, T, Haist, M & 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, no. X-2-2024, pp. 145-152. https://doi.org/10.48550/arXiv.2402.06611, https://doi.org/10.5194/isprs-annals-X-2-2024-145-2024
Schack, T, Coenen, M & Haist, M 2024, 'Approach to digital process control with image-based fresh concrete monitoring', Betonwerk und Fertigteil-Technik/Concrete Plant and Precast Technology, vol. 90, no. 2, pp. 46-51.
Schack, T, Coenen, M & Haist, M 2024, 'Bildbasierte Frischbetonprüfung: Anwendung im Transportbetonwerk unter baupraktischen Randbedingungen', beton, no. 1+2, pp. 8-13.
Schack, T, Coenen, M & Haist, M 2024, 'Digital Slump Flow: Image-based assessment of fresh concrete homogeneity as part of the slump flow test', Case Studies in Construction Materials, vol. 21, e03973. https://doi.org/10.1016/j.cscm.2024.e03973
Schack, T, Coenen, M & Haist, M 2024, 'Image-based quality control of fresh concrete based on semantic segmentation algorithms', civil engineering design, vol. 6, no. 3, pp. 96-105. https://doi.org/10.1002/cend.202410011
Strybny, B, Link, J, Coenen, M, Vidal, V, Zuber, M, Schack, T & Haist, M 2024, 'Mechanisms of air bubble rise in cement suspensions studied by X-ray analysis', Construction and Building Materials, vol. 457, 139330. https://doi.org/10.1016/j.conbuildmat.2024.139330
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
