Showing results 1 - 20 out of 31
2024
Coenen M, Meyer M, Beyer D, Heipke C, Haist M. Computer Vision as Key to an Automated Concrete Production Control. In Gonzalez-Moret V, Zhang J, García de Soto B, Brilakis I, editors, Proceedings of the 41st International Symposium on Automation and Robotics in Construction. Lille, France: International Association for Automation and Robotics in Construction (IAARC). 2024. p. 26-33. (Proceedings of the International Symposium on Automation and Robotics in Construction). doi: 10.22260/ISARC2024/0005
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
Meyer M, Langer A, Mehltretter M, Beyer D, Coenen M, Schack T et al. Fresh Concrete Properties from Stereoscopic Image Sequences. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 2024 Oct;92(5):517–529. Epub 2024 Aug 26. doi: 10.1007/s41064-024-00303-0
Meyer M, Langer A, Mehltretter M, Beyer D, Coenen M, Schack T et al. Image-based Deep Learning for the time-dependent prediction of fresh concrete properties. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2024 Jun 10;(X-2-2024):145-152. doi: 10.48550/arXiv.2402.06611, 10.5194/isprs-annals-X-2-2024-145-2024
Schack T, Coenen M, Haist M. Approach to digital process control with image-based fresh concrete monitoring. BFT International. 2024;2024(2):46-51.
Schack T, Coenen M, Haist M. Bildbasierte Frischbetonprüfung: Anwendung im Transportbetonwerk unter baupraktischen Randbedingungen. beton. 2024;(1+2):8-13.
Schack T, Coenen M, Haist M. Image-based quality control of fresh concrete based on semantic segmentation algorithms. civil engineering design. 2024 Oct 10;6(3):96-105. doi: 10.1002/cend.202410011
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
