Max Coenen

Concrete Vision Lab (2022 - ongoing)
[Website]

ReCyControl (2021 - ongoing)
Self-learning control methods for an automatic production of robust and eco-friendly concretes
[Website]

Open Channel Concrete Flow (2021 - ongoing)
[Website]

Vision-based Characterisation of Fresh Concrete Properties (2020 - 2022)
[Website]

i.c.sens (2016 - 2020)
Integrity and Collaboration in Dynamic Sensor Networks
[Website] [Researchgate]

Deep Concrete Flow: Deep Learning based Monitoring of Fresh Concrete Properties from Open-Channel Flow using Spatio-Temporal Flow Fields (2024)
Max Coenen*, Christian Vogel, Tobias Schack, and Michael Haist
In: Construction and Building Materials 411
[Paper] [pdf] [Bibtex]

Deep Granulometry: Image based Estimation of Concrete Aggregate Size Distributions using Deep Learning (2023)
Max Coenen*, Dries Beyer, Anne Ponick, Christian Heipke, and Michael Haist
To be published
[Dataset]

Concrete Flow Transformer: Predicting Fresh Concrete Properties from Concrete Flow using Vision Transformers (2023)
Max Coenen*, Christian Vogel, Tobias Schack, and Michael Haist
In: Proceedings of the 2023 European Conference on Computing in Construction (EC3)
[Paper] [pdf] [Bibtex]

Granulometry Transformer: Image-based Granulometry of Concrete Aggregate for an automated Concrete Production Control (2023)
Max Coenen*, Dries Beyer and Michael Haist
In: Proceedings of the 2023 European Conference on Computing in Construction (EC3)
[Paper] [pdf] [Bibtex]

Concrete 4.0 - Sustainable Concrete Construction with digital Quality Control (2023)
Michael Haist, Tobias Schack, Max Coenen, Christian Vogel, Dries Beyer and Christian Heipke
In: Proceedings of the International Conference on Building Materials (ibausil), ce/papers, 6 (6)
[Paper] [pdf] [Bibtex]

Image-based Analysis of fresh Concrete Flow - Determining the Correlation between Flow Behavior and rheological Properties (2023)
Christian Vogel, Max Coenen, Tobias Schack, Dries Beyer and Michael Haist
In: Proceedings of the International Conference on Building Materials (ibausil), ce/papers, 6 (6)
[Paper] [pdf] [Bibtex]

Mechanisms of Thixotropy in Cement Suspensions Considering Influences from Shear History and Hydration (2023)
Julian Link, Bastian Strybny, Thibaut Divoux, Thomas Sowoidnich, Max Coenen, Stefan Gstöhl, Christian M. Schlepütz, Marcus Zuber, Steffen Hellmann, Christiane Rößler, Johannes Lützenkirchen, Frank Heberling, Sébastien Manneville, Thorsten Schäfer, Horst-Michael Ludwig, and Michael Haist
In: Proceedings of the International Conference on Building Materials (ibausil), ce/papers, 6 (6)
[Paper] [pdf] [Bibtex]

ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles (2022)
Max Coenen*, Tobias Schack, Dries Beyer, Christian Heipke, and Michael Haist
In: Machine Vision and Applications 33 (57)
[Paper] [pdf] [Bibtex]

Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate (2022)
Max Coenen*, Dries Beyer, Christian Heipke, and Michael Haist
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume V-2-2022
[Paper] [pdf] [Bibtex] [Dataset]

Digitization of the Concrete Production Chain Using Computer Vision and Artificial Intelligence (2022)
Michael Haist, Christian Heipke, Dries Beyer, Max Coenen, Tobias Schack, Christian Vogel, Anne Ponick, Amadeus Langer
In: Proceedings of the 6th fib Congress 2022, Oslo, Norway
[Paper] [pdf]

Image-based Deep Learning for Rheology Determination of Bingham Fluids (2022)
Anne Ponick*, Dries Beyer, Max Coenen, Michael Haist, and Christian Heipke
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLIII-B2-2022
[Paper] [pdf] [Bibtex]

Semi-Supervised Segmentation of Concrete Aggregate using Consensus Regularisation and Prior Guidance (2021)
Max Coenen*, Tobias Schack, Dries Beyer, Christian Heipke, and Michael Haist
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume V-2-2021
[Paper] [pdf] [Bibtex] [Dataset]

Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images using a Subcategory-Aware Shape Prior (2021)
Max Coenen* and Franz Rottensteiner
In: ISPRS Journal of Photogrammetry and Remote Sensing (181)
[Paper] [pdf] [Bibtex]

Probabilistic Pose Estimation and 3D Reconstruction of Vehicles from Stereo Images (2020)
Max Coenen*
Dissertation, Hannover 2020
[pdf]

Probabilistic Vehicle Reconstruction Using a Multi-Task CNN (2019)
Max Coenen* and Franz Rottensteiner
In: IEEE International Conference on Computer Vision Workshops (ICCVW)
[Paper] [pdf]

Precise Vehicle Reconstruction for Autonomous Driving Applications (2019)
Max Coenen*, Franz Rottensteiner, and Christian Heipke
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. IV-2/W5
[Paper] [pdf] [Bibtex]

Integrity and Collaboration in Dynamic Sensor Networks (2018)
Steffen Schön, Claus Brenner, Hamza Alkhatib, Max Coenen, et al.
In: Sensors 18(7)
[Paper] [pdf]

Recovering the 3D Pose and Shape of Vehicles from Stereo Images (2018)
Max Coenen*, Franz Rottensteiner, and Christian Heipke
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. IV-2/W4
[Paper] [pdf] [Bibtex]

Contextual segment-based Classification of airborne Laser Scanner Data (2017)
George Vosselman, Max Coenen, and Franz Rottensteiner
In: ISPRS Journal of Photogrammetry and Remote Sensing 128
[Paper] [pdf] [Bibtex]

Classification of Stereo Images from Mobile Mapping Data Using Conditional Random Fields (2017)
Max Coenen*, Franz Rottensteiner, and Christian Heipke
In: PFG Journal of Photogrammetry, Remote Sensing and Geoinformation Science 85(1)
[Paper] [pdf] [Bibtex]

Detection and 3D Modelling of Vehicles from mobile Mapping Stereo Images (2017)
Max Coenen*, Franz Rottensteiner, and Christian Heipke
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1
[Paper] [pdf] [Bibtex]