Zeige Ergebnisse 21 - 33 von 33
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, S. 434-443, 6th fib International Congress on Concrete Innovation for Sustainability, 2022, Oslo, Norwegen, 12 Juni 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, Jg. 43, Nr. B2-2022, S. 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, Jg. 2022, Nr. 6, S. 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, Jg. 181, S. 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, Jg. 5, Nr. 2, S. 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', Doktor der Ingenieurwissenschaften, Gottfried Wilhelm Leibniz Universität Hannover, Hannover. <https://publikationen.badw.de/en/046935354>
2019
Coenen, M, Rottensteiner, F & Heipke, C 2019, 'Precise vehicle reconstruction for autonomous driving applications', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jg. 4, Nr. 2/W5, S. 21-28. https://doi.org/10.5194/isprs-annals-IV-2-W5-21-2019, https://doi.org/10.15488/10174
Coenen, M & Rottensteiner, F 2019, Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. in 2019 International Conference on Computer Vision (ICCVW): Proceedings. International Conference on Computer Vision Workshops (ICCV), Bd. 2019, Institute of Electrical and Electronics Engineers Inc., S. 822-831, 2019 IEEE/CVF 17th International Conference on Computer Vision Workshop (ICCVW), Seoul, Südkorea, 27 Okt. 2019. https://doi.org/10.48550/arXiv.2102.10681, https://doi.org/10.1109/ICCVW.2019.00110
2018
Coenen, M, Rottensteiner, F & Heipke, C 2018, 'Recovering the 3D pose and shape of vehicles from stereo images', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Jg. 4, Nr. 2, S. 73-80. https://doi.org/10.5194/isprs-annals-IV-2-73-2018
Schön, S, Brenner, C, Alkhatib, H, Coenen, M, Dbouk, H, Garcia-Fernandez, N, Fischer, C, Heipke, C, Lohmann, K, Neumann, I, Nguyen, U, Paffenholz, JA, Peters, T, Rottensteiner, F, Schachtschneider, J, Sester, M, Sun, L, Vogel, S, Voges, R & Wagner, B 2018, 'Integrity and Collaboration in Dynamic Sensor Networks', Sensors (Switzerland), Jg. 18, Nr. 7, 2400. https://doi.org/10.3390/s18072400
2017
Coenen, M, Rottensteiner, F & Heipke, C 2017, 'Classification of Stereo Images from Mobile Mapping Data Using Conditional Random Fields', Journal of photogrammetry, remote sensing and
geoinformation science, Jg. 85, Nr. 1, S. 17-30. https://doi.org/10.1007/s41064-017-0004-5
Coenen, M, Rottensteiner, F & Heipke, C 2017, 'DETECTION AND 3D MODELLING OF VEHICLES FROM TERRESTRIAL STEREO IMAGE PAIRS', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jg. 42, Nr. 1/W1, S. 505-512. https://doi.org/10.5194/isprs-archives-XLII-1-W1-505-2017
Vosselman, G, Coenen, M & Rottensteiner, F 2017, 'Contextual segment-based classification of airborne laser scanner data', ISPRS Journal of Photogrammetry and Remote Sensing, Jg. 128, S. 354-371. https://doi.org/10.1016/j.isprsjprs.2017.03.010
