Showing results 1 - 20 out of 27
2024
Coenen M, Vogel C, Schack T, Haist M. Deep Concrete Flow: Deep learning based characterisation of fresh concrete properties from open-channel flow using spatio-temporal flow fields. Construction and Building Materials. 2024 Jan 12;411:134809. Epub 2023 Dec 30. doi: 10.1016/j.conbuildmat.2023.134809
Schack T, Coenen M, Haist M. Approach to digital process control with image-based fresh concrete monitoring. BFT International. 2024;2024(2).
Schack T, Coenen M, Haist M. Bildbasierte Frischbetonprüfung: Anwendung im Transportbetonwerk unter baupraktischen Randbedingungen. beton. 2024;(1+2):8-13.
2023
Coenen M, Vogel C, Schack T, Haist M. 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). 2023 doi: 10.35490/EC3.2023.222
Coenen M, Beyer D, Haist M. 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. 2023 doi: 10.35490/EC3.2023.223
Haist M, Schack T, Coenen M, Vogel C, Beyer D, Heipke C. Concrete 4.0 - Sustainable concrete construction with digital quality control. ce/papers. 2023 Dec 6;6(6):1555-1562. doi: 10.1002/cepa.2965
Link J, Strybny B, Divoux T, Sowoidnich T, Coenen M, Gstöhl S et al. Mechanisms of thixotropy in cement suspensions considering influences from shear history and hydration. ce/papers. 2023 Dec 6;6(6):698-704. doi: 10.1002/cepa.2810
Schack T, Coenen M, Haist M. Bildbasierte Frischbetonprüfung: Teil 3: Homogenität des Frischbetons. Beton- und Stahlbetonbau. 2023 Oct 19;118(10):716-724. doi: 10.1002/best.202300055
Schack T, Coenen M, Haist M. Bildbasierte Frischbetonprüfung – Teil 1: Konsistenz und Leimgehalt des Frischbetons. Beton- und Stahlbetonbau. 2023 Apr 3;118(4):220-228. doi: 10.1002/best.202300013
Schack T, Coenen M, Haist M. Bildbasierte Frischbetonprüfung – Teil 2: Granulometrische Eigenschaften der Gesteinskörnung. Beton- und Stahlbetonbau. 2023 Aug 2;118(8):556-564. doi: 10.1002/best.202300038
Schack T, Coenen M, Haist M. Image-based method as a new approach for digital quality control of fresh concrete. CPI Concrete Plant International. 2023 Oct 23;2023(05):45-48.
Vogel C, Coenen M, Schack T, Beyer D, Haist M. Image-based analysis of fresh concrete flow: determining the correlation between flow behavior and rheological properties. ce/papers. 2023 Dec 6;6(6):621-627. doi: 10.1002/cepa.2916
2022
Coenen M, Schack T, Beyer D, Heipke C, Haist M. ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles. Machine vision and applications. 2022 Jul;33(4):57. Epub 2022 Jul 4. doi: 10.1007/s00138-022-01313-x
Coenen M, Beyer D, Heipke C, Haist M. LEARNING TO SIEVE: PREDICTION OF GRADING CURVES FROM IMAGES OF CONCRETE AGGREGATE. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2022 May 17;5(2):227-235. doi: 10.5194/isprs-annals-V-2-2022-227-2022
Haist M, Heipke C, Beyer D, Coenen M, Schack T, Vogel C et al. 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. The International Federation for Structural Concrete. 2022. p. 434-443. (fib Symposium).
Ponick A, Langer A, Beyer D, Coenen M, Haist M, Heipke C. IMAGE-BASED DEEP LEARNING FOR RHEOLOGY DETERMINATION OF BINGHAM FLUIDS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2022 May 30;43(B2-2022):711-720. doi: 10.5194/isprs-archives-XLIII-B2-2022-711-2022
Schack T, Coenen M, Haist M. Slump Flow 4.0: Digital quality control. BFT International. 2022;2022(6):73.
2021
Coenen M, Rottensteiner F. Pose estimation and 3D reconstruction of vehicles from stereo-images using a subcategory-aware shape prior. ISPRS Journal of Photogrammetry and Remote Sensing. 2021 Nov;181:27-47. Epub 2021 Sept 14. doi: 10.48550/arXiv.2107.10898, 10.1016/j.isprsjprs.2021.07.006
Coenen M, Schack T, Beyer D, Heipke C, Haist M. Semi-Supervised Segmentation of Concrete Aggregate using Consensus Regularisation and Prior Guidance. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2021 Jun 17;5(2):83-91. doi: 10.5194/isprs-annals-V-2-2021-83-2021
2020
Coenen MA. Probabilistic Pose Estimation and 3D Reconstruction of Vehicles from Stereo Images. Hannover: Leibniz Universität Hannover, 2020. 143 p. (Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover; 362).
