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 Dez 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 Dez 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 Okt 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 Okt 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 Dez 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 Mai 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. S. 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. in XXIV ISPRS Congress (2022 edition). 2022. S. 711-720. (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; B2-2022). 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 Sep 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 S. (Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover; 362).
2019
Coenen M, Rottensteiner F, Heipke C. Precise vehicle reconstruction for autonomous driving applications. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2019 Mai 29;4(2/W5):21-28. doi: 10.5194/isprs-annals-IV-2-W5-21-2019, 10.15488/10174
Coenen M, Rottensteiner F. Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. in 2019 International Conference on Computer Vision (ICCVW): Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. S. 822-831. (International Conference on Computer Vision Workshops (ICCV)). doi: 10.48550/arXiv.2102.10681, 10.1109/ICCVW.2019.00110
2018
Coenen M, Rottensteiner F, Heipke C. Recovering the 3D pose and shape of vehicles from stereo images. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2018 Mai 28;4(2):73-80. doi: 10.5194/isprs-annals-IV-2-73-2018
