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Integrative Computational Design and Construction for Architecture (T3.0)
Research
Research Projects
RP 8-3 – Robotic Platform Based on Autonomous Tower Crane

Robotic Platform Based on Autonomous Tower Crane

Research Project 8-3 (RP 8-3)

ROBOTIC PLATFORM FOR ON-SITE CONSTRUCTION AND RENOVATION BASED ON AUTONOMOUS TOWER CRANE

The aim of this project is to extend the cyber-physical construction platform developed in the previous Research Project RP8-2 consisting of a tower crane with image-based sensor network, a spider crane and novel gripper systems of both platforms, to autonomously perform assembly tasks. Building on this foundation, the project explores the broader potential of autonomous cranes embedded in a digital construction environment enhanced by augmented reality.

Autonomous cranes integrated into a digital environment presented with augmented reality have huge potential for future construction sites. We aim to merge physical and digital processes for enhanced safety, efficiency, human-machine and machine-machine collaboration. Real-time capable scanning of dynamic environments combined with semantic understanding yields a digital twin for simulation, planning and human-machine interfaces.

Building on this foundation, we advance tower crane autonomy for contact-rich assembly and safety-critical disassembly tasks. This includes collision-free and dynamically feasible trajectory generation under uncertainty, explicit consideration of rope dynamics and load swing, and robust/adaptive control for reliable tracking despite disturbances and parameter changes. Contact situations are detected and predicted using multi-modal sensing and observer-based methods, enabling structure/parameter adaptation of control and trajectory replanning during interaction events. Learning-based components complement model-based methods to improve performance and generalization in complex, changing site conditions. To further increase productivity and flexibility, we also address rope-guided collaboration with other machines and robots.

Finally, augmented reality interfaces leverage the semantic digital twin to support teleoperation, supervision, and planning by visualizing site state, resources, and planned motions directly in context—closing the loop between autonomous execution and human oversight.

PRINCIPAL INVESTIGATORS

Prof. Dr.-Ing. habil. Dr. h.c. Oliver Sawodny
Board of Directors
Institute for System Dynamics (ISYS)
Cluster of Excellence IntCDC

Prof. Dr. Dieter Schmalstieg
Principal Investigator
Institute for Visualization and Interactive Systems (VIS)
Cluster of Excellence IntCDC

RESEARCHERS

M. Sc. Eva Menrad
Doctoral Researcher
Institute for System Dynamics (ISYS)
Cluster of Excellence IntCDC

M.Sc. Jan Kolberg
Doctoral Researcher
Institute for Visualization and Interactive Systems (VIS)
Cluster of Excellence IntCDC

PEER-REVIEWED PUBLICATIONS

2025
1. Schreck, A., Burkhardt, M., Kropp, C., & Sawodny, O. (2025). Herausforderungen einer vertrauenswürdigen Automatisierung von Turmdrehkranen. Bautechnik, 102, Article 6. https://doi.org/10.1002/bate.202400073
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  @article{Schreck_2025, abstract = {Automatisierungsprozesse zielen darauf ab, menschliche Arbeitskraft zu entlasten oder zu ersetzen und zugleich Präzision und Effizienz von Arbeitsabläufen zu erhöhen. Im Baugewerbe soll die Automatisierung auch dazu beitragen, die Arbeit für die Fachkräfte sicherer, einfacher und interessanter zu gestalten. Turmdrehkrane spielen auf der Baustelle eine zentrale Rolle, da sie als Schnittstelle zwischen den Gewerken fungieren und die Zusammenarbeit ermöglichen. Vor diesem Hintergrund stellt die vorliegende Untersuchung die Herausforderungen der Automatisierung von Turmdrehkranen sowohl aus technischer als auch aus menschlich-organisatorischer Perspektive vor. Dafür wird die soziotechnische Konstellation des Kranführens auf Baustellen betrachtet und die Anforderungen an eine erfolgreiche Automatisierung aus Sicht der heutigen Fachkräfte und der Technikentwicklung beleuchtet. Die Fallstudie stellt Unterschiede und Gemeinsamkeiten beider Perspektiven heraus und leitet Anforderungen an robuste Automatisierungsprozesse ab.}, author = {Schreck, Amelie and Burkhardt, Mark and Kropp, Cordula and Sawodny, Oliver}, doi = {10.1002/bate.202400073}, issn = {1437-0999}, journal = {Bautechnik}, language = {deu}, month = {05}, number = 6, preprinturl = {http://dx.doi.org/10.1002/bate.202400073}, publisher = {Wiley}, title = {Herausforderungen einer vertrauenswürdigen Automatisierung von Turmdrehkranen}, url = {http://dx.doi.org/10.1002/bate.202400073}, volume = 102, year = 2025 }
2024
1. Schüle, J., Burkhardt, M., Gienger, A., & Sawodny, O. (2024). Towards Automated Construction: Visual-based Pose Reconstruction for Tower Crane Operations using Differentiable Rendering and Network-based Image Segmentation. 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE), 1–7. https://doi.org/10.1109/ISIE54533.2024.10595817
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  @inproceedings{10595817, abstract = {This study focuses on visual-based pose reconstruction, aimed at automating construction sites. It addresses the pivotal challenge of camera-based pose reconstruction, crucial for robotic operations, as discussed in this work for tracking objects maneuvered by tower cranes. Central to this research is the formulation of a gradient-based optimization problem, with the objective of enhancing the alignment between synthetic model renderings and actual image captures through the use of differentiable rendering. Additionally, the study presents the design of a neural network tailored for image segmentation, intending to simplify the network architecture to reduce latency times and meet real-time operational demands. Although the entire procedure is motivated and discussed for the application of object tracking of a load by a tower crane, the presented framework is extendable, without loss of generality, to all camera-based object pose reconstructions, where a predefined geometric model of the target object is available. The adaptability and innovative applications of the framework highlight its significant contributions to advancing robotic vision and automation within the construction industry and beyond.}, author = {Schüle, Johannes and Burkhardt, Mark and Gienger, Andreas and Sawodny, Oliver}, booktitle = {2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)}, doi = {10.1109/ISIE54533.2024.10595817}, issn = {2163-5145}, month = {06}, pages = {1-7}, title = {Towards Automated Construction: Visual-based Pose Reconstruction for Tower Crane Operations using Differentiable Rendering and Network-based Image Segmentation}, year = 2024 }
2023
1. Burkhardt, M., Gienger, A., Joachim, L., Haala, N., Sörgel, U., & Sawodny, O. (2023). Data-based error compensation for georeferenced payload path tracking of automated tower cranes. Mechatronics, 94, 103028––. https://doi.org/10.1016/j.mechatronics.2023.103028
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  @article{burkhardt2023databased, abstract = {In order to increase the productivity on construction sites, a current topic of research is the automation of the payload transport by tower cranes. Thereby, a key requirement is to ensure that the tower crane precisely tracks the planned paths and positions the payload at the specified target location. Most of the state-of-the-art tower crane controllers damp load sway while moving each driving system to its desired position. However, the path error also consists of bending displacements of the tower crane’s mechanical structure, observer errors, or sensor offsets once the crane hook position is considered in a fixed georeferenced construction site system. These errors have not been addressed in literature on tower cranes so far. This paper introduces an approach to reduce the path error of automated tower cranes without permanently integrating additional sensors. A regression model is derived for predicting the path error and a least absolute shrinkage and selection operator (LASSO) is used to select the most important features. The predicted error is then used to compute a compensating hook path such that the measured hook path matches the desired hook path. The effectiveness of the approach is experimentally validated utilizing a real large-scale tower crane showing a reduction of the path error of more than 50% and a position accuracy of less than 16 cm.}, author = {Burkhardt, Mark and Gienger, Andreas and Joachim, Lena and Haala, Norbert and Sörgel, Uwe and Sawodny, Oliver}, doi = {https://doi.org/10.1016/j.mechatronics.2023.103028}, issn = {09574158}, journal = {Mechatronics}, pages = {103028--}, title = {Data-based error compensation for georeferenced payload path tracking of automated tower cranes}, url = {https://www.sciencedirect.com/science/article/pii/S0957415823000843}, volume = 94, year = 2023 }
2. Burkhardt, M., Gienger, A., & Sawodny, O. (2023). Optimization-Based Multipoint Trajectory Planning Along Straight Lines for Tower Cranes. IEEE Transactions on Control Systems Technology, 1–8. https://doi.org/10.1109/TCST.2023.3308762
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  @article{10262144, abstract = {On common construction sites, it is often the case that tower cranes must move heavy payloads along straight lines either due to obstacles or it is the direct route to a target location. In order to enable this motion for autonomous tower cranes, the goal of this work is an offline trajectory planning algorithm for the tower crane’s payload to follow multiple straight connection lines of waypoints and compute smooth transitions at the intersection of the connection lines. The considered tower crane is a rigid tower crane with five degrees of freedom. An optimal control problem (OCP) is formulated in order to compute the trajectory for the transition between two waypoints minimizing the transition time and weighted path error. The smooth transitions between the connection lines are obtained by solving the OCP for the next connection line utilizing the current position as initial condition. The simulation results investigate the time gain in comparison to a trajectory that precisely positions the payload at each waypoint. The experimental validation with a real large-scale tower crane verifies that the crane is able to time-efficiently pass through an obstacle course.}, author = {Burkhardt, Mark and Gienger, Andreas and Sawodny, Oliver}, doi = {10.1109/TCST.2023.3308762}, issn = {1558-0865}, journal = {IEEE Transactions on Control Systems Technology}, pages = {1-8}, title = {Optimization-Based Multipoint Trajectory Planning Along Straight Lines for Tower Cranes}, year = 2023 }
3. Burkhardt, M., Joachim, L., Gienger, A., Haala, N., Sörgel, U., & Sawodny, O. (2023, August). Rotation Control of a Novel Crane Gripper with Visual-Inertial Feedback. Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).
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  @inproceedings{burkhardt2023rotation, author = {Burkhardt, Mark and Joachim, Lena and Gienger, Andreas and Haala, Norbert and Sörgel, Uwe and Sawodny, Oliver}, booktitle = {Proceedings of 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)}, month = {08}, organization = {IEEE}, title = {Rotation Control of a Novel Crane Gripper with Visual-Inertial Feedback}, year = 2023 }
4. Collmar, D., Walter, V., Koelle, M., & Soergel, U. (2023). FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023, 159–166. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-159-2023
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  @article{isprs-annals-X-1-W1-2023-159-2023, author = {Collmar, D. and Walter, V. and Koelle, M. and Soergel, U.}, doi = {10.5194/isprs-annals-X-1-W1-2023-159-2023}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {159--166}, title = {FROM MULTIPLE POLYGONS TO SINGLE GEOMETRY: OPTIMIZATION OF POLYGON INTEGRATION FOR CROWDSOURCED DATA}, url = {https://isprs-annals.copernicus.org/articles/X-1-W1-2023/159/2023/}, volume = {X-1/W1-2023}, year = 2023 }
5. Haala, N., Zhang, W., Joachim, L., Skuddis, D., Abolhasani, S., Schwieger, V., & Soergel, U. (2023). Zum Potenzial von SLAM-Verfahren für geodätische Echtzeit-Messaufgaben. Allgemeine Vermessungsnachrichten (Avn), 163–172. https://gispoint.de/artikelarchiv/avn/2023/avn-ausgabe-052023/7879-zum-potenzial-von-slam-verfahren-fuer-geodaetische-echtzeit-messaufgaben.html
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  @article{haala2023potenzial, abstract = {Simultaneous Localization and Mapping (SLAM) zielt auf die Echtzeiterfassung einer Umgebungskarte mittels einer mobilen Roboterplattform, wobei gleichzeitig die Lokalisierung des Roboters bezüglich seiner Umgebung erfolgt. Zu diesem Zweck kombiniert der Roboter Navigationssensoren, wie IMU oder Odometer, mit Sensoren, wie Laserscanner und/oder monokulare, Stereo- oder RGB-D-Kameras, zur Erfassung der Umgebung. Analog zum bekannten Structure-from-Motion-Verfahren basiert die simultane Bestimmung der Aufnahmepose und der 3D-Karte der Umgebung auf einer photogrammetrischen Bündelblockausgleichung. Hierzu werden zugeordnete Bildpunkte und/oder Laserscans zwischen den jeweiligen Aufnahmen genutzt. SLAM-Verfahren haben mittlerweile einen beachtlichen Entwicklungsstand erreicht. Sie kommen in immer mehr praktischen Anwendungen zum Einsatz und können zunehmend auch für ingenieurgeodätische Messaufgaben genutzt werden. Von besonderem Interesse sind dabei Echtzeitanwendungen. In diesem Beitrag wird das Potenzial existierender SLAM-Verfahren für geodätische Aufgaben am Beispiel aktueller Projekte, wie der Erfassung von Baustellen mittels auf einem Kran montierten Kameras und der mobilen 3D-Kartierung von Innenräumen, demonstriert und diskutiert.}, author = {Haala, Norbert and Zhang, Wei and Joachim, Lena and Skuddis, David and Abolhasani, Sahar and Schwieger, Volker and Soergel, Uwe}, journal = {Allgemeine Vermessungsnachrichten (avn)}, month = {05}, pages = {163-172}, title = {Zum Potenzial von SLAM-Verfahren für geodätische Echtzeit-Messaufgaben}, url = {https://gispoint.de/artikelarchiv/avn/2023/avn-ausgabe-052023/7879-zum-potenzial-von-slam-verfahren-fuer-geodaetische-echtzeit-messaufgaben.html}, year = 2023 }
6. Schneider, P. J., Yang, C.-H., Li, Y., Koppe, M., Soergel, U., Pakzad, K., & Rudolf, T. (2023). DEVELOPMENT OF A WEB PLATFORM TO VISUALIZE PS-INSAR DATA IN A BUILDING INFORMATION MANAGEMENT SYSTEM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023, 869–873. https://doi.org/10.5194/isprs-annals-X-1-W1-2023-869-2023
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  @article{isprs-annals-X-1-W1-2023-869-2023, author = {Schneider, P. J. and Yang, C.-H. and Li, Y. and Koppe, M. and Soergel, U. and Pakzad, K. and Rudolf, T.}, doi = {10.5194/isprs-annals-X-1-W1-2023-869-2023}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {869--873}, title = {DEVELOPMENT OF A WEB PLATFORM TO VISUALIZE PS-INSAR DATA IN A BUILDING INFORMATION MANAGEMENT SYSTEM}, url = {https://isprs-annals.copernicus.org/articles/X-1-W1-2023/869/2023/}, volume = {X-1/W1-2023}, year = 2023 }
7. Zhang, X., Lin, D., Xue, R., & Soergel, U. (2023). TARGET-GUIDED LEARNING FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023, 1693–1698. https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023
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  @article{isprs-archives-XLVIII-1-W2-2023-1693-2023, author = {Zhang, X. and Lin, D. and Xue, R. and Soergel, U.}, doi = {10.5194/isprs-archives-XLVIII-1-W2-2023-1693-2023}, journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {1693--1698}, title = {TARGET-GUIDED LEARNING FOR RARE CLASS SEGMENTATION IN LARGE-SCALE URBAN POINT CLOUDS}, url = {https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1693/2023/}, volume = {XLVIII-1/W2-2023}, year = 2023 }
2022
1. Burkhardt, M., Joachim, L., Lerke, O., Thomas, M., Schwieger, V., Haala, N., & Sawodny, O. (2022). Kran. Deutsches Patent- und Markenamt.
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  @patent{burkhardt2022, author = {Burkhardt, Mark and Joachim, Lena and Lerke, Otto and Thomas, Matthias and Schwieger, Volker and Haala, Norbert and Sawodny, Oliver}, publisher = {Deutsches Patent- und Markenamt}, title = {Kran}, year = 2022 }
2. Joachim, L., Zhang, W., Haala, N., & Soergel, U. (2022). Evaluation of the quality of real-time mapping with crane cameras and visual SLAM algorithms. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 545–552. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-545-2022
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  @inproceedings{joachim2022evaluation, author = {Joachim, Lena and Zhang, Wei and Haala, Norbert and Soergel, Uwe}, booktitle = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {10.5194/isprs-archives-XLIII-B2-2022-545-2022}, pages = {545–552}, title = {Evaluation of the quality of real-time mapping with crane cameras and visual SLAM algorithms}, volume = {XLIII-B2-2022}, year = 2022 }
3. Thomas, M., & Sawodny, O. (2022). Flatness-based feedforward and modal model-predictive state-feedback control of a double pendulum bridge crane. The 9th IFAC Symposium on Mechatronic Systems & the 16th International Conference on Motion and Vibration Control, 24–29.
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  @inproceedings{thomas2022flatnessbased, author = {Thomas, Matthias and Sawodny, Oliver}, booktitle = {The 9th IFAC Symposium on Mechatronic Systems & The 16th International Conference on Motion and Vibration Control}, month = {09}, organization = {IFAC}, pages = {24-29}, title = {Flatness-based feedforward and modal model-predictive state-feedback control of a double pendulum bridge crane}, year = 2022 }
4. Wolff, F., Uchiyama, N., Burkhardt, M., & Sawodny, O. (2022). Nonlinear Model Predictive Control with Non-Equidistant Discretization Time Grids for Rotary Cranes. 2022 13th Asian Control Conference (ASCC), 1753–1758. https://doi.org/10.23919/ASCC56756.2022.9828180
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  @inproceedings{wolff2022nonlinear, author = {Wolff, Frank and Uchiyama, Naoki and Burkhardt, Mark and Sawodny, Oliver}, booktitle = {2022 13th Asian Control Conference (ASCC)}, doi = {10.23919/ASCC56756.2022.9828180}, pages = {1753-1758}, title = {Nonlinear Model Predictive Control with Non-Equidistant Discretization Time Grids for Rotary Cranes}, year = 2022 }
2021
1. Burkhardt, M., & Sawodny, O. (2021). Towards Modeling and Control of a Crane-Collaboration for the Automated Assembly of Timber Structures. IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society, 1–6. https://doi.org/10.1109/IECON48115.2021.9589787
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  @inproceedings{burkhardt2021towards, affiliation = {Burkhardt, M (Corresponding Author), Univ Stuttgart, Inst Syst Dynam, Stuttgart, Germany. Burkhardt, Mark; Sawodny, Oliver, Univ Stuttgart, Inst Syst Dynam, Stuttgart, Germany.}, author = {Burkhardt, Mark and Sawodny, Oliver}, booktitle = {IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society}, doi = {10.1109/IECON48115.2021.9589787}, eventdate = {2021-10-13/2021-10-16}, eventtitle = {47th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)}, isbn = {{978-1-6654-3554-3} and {978-1-6654-0256-9}}, language = {eng}, pages = {1-6}, publisher = {IEEE}, research-areas = {Automation & Control Systems; Engineering}, title = {Towards Modeling and Control of a Crane-Collaboration for the Automated Assembly of Timber Structures}, unique-id = {WOS:000767230604039}, venue = {Online}, year = 2021 }
2. Burkhardt, M., & Sawodny, O. (2021). A graph-based path planning algorithm for the control of tower cranes. 2021 American Control Conference (ACC), 1736–1741. https://doi.org/10.23919/ACC50511.2021.9482797
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  @inproceedings{burkhardt2021graphbased, address = {Piscataway}, affiliation = {Burkhardt, M (Corresponding Author), Univ Stuttgart, Inst Syst Dynam, Waldburgstr 17-19, D-70563 Stuttgart, Germany. Burkhardt, Mark; Sawodny, Oliver, Univ Stuttgart, Inst Syst Dynam, Waldburgstr 17-19, D-70563 Stuttgart, Germany.}, author = {Burkhardt, Mark and Sawodny, Oliver}, booktitle = {2021 American Control Conference (ACC)}, doi = {10.23919/ACC50511.2021.9482797}, eventdate = {2021-05-25/2021-05-28}, eventtitle = {2021 American Control Conference (ACC)}, isbn = {{978-1-6654-4197-1} and {978-1-6654-4198-8} and {978-1-7281-9704-3}}, language = {eng}, pages = {1736-1741}, publisher = {IEEE}, research-areas = {Automation & Control Systems; Engineering}, title = {A graph-based path planning algorithm for the control of tower cranes}, unique-id = {WOS:000702263301133}, venue = {Online}, year = 2021 }
3. Rauscher, F., & Sawodny, O. (2021). Efficient Online Trajectory Planning for Integrator Chain Dynamics using Polynomial Elimination. IEEE Robotics and Automation Letters, 6, Article 3. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9403885
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  @article{rauscher2021efficient, author = {Rauscher, Florentin and Sawodny, Oliver}, journal = {IEEE Robotics and Automation Letters}, language = {English}, month = {07}, number = 3, pages = {5183-5190}, publisher = {IEEE}, title = {Efficient Online Trajectory Planning for Integrator Chain Dynamics using Polynomial Elimination}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9403885}, volume = 6, year = 2021 }
4. Thomas, M., Werner, T., & Sawodny, O. (2021). Online trajectory generation and feedforward control for manually-driven cranes with input constraints. 2021 IEEE Conference on Control Technology and Applications (CCTA).
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  @inproceedings{thomas2021online, author = {Thomas, Matthias and Werner, Timothy and Sawodny, Oliver}, booktitle = {2021 IEEE Conference on Control Technology and Applications (CCTA)}, organization = {IEEE}, title = {Online trajectory generation and feedforward control for manually-driven cranes with input constraints}, year = 2021 }

OTHER PUBLICATIONS

2023
1. Burkhardt, M., Joachim, L., Gienger, A., Haala, N., Sörgel, U., & Sawodny, O. (2023). Datenbasiertes Korrektursystem für Lastpositionsfehler von automatisierten Turmdrehkranen in Absolutkoordinaten. Deutsches Patent- und Markenamt.
  - BibTeX
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  @patent{burkhardt2023datenbasiertes, anmeldenummer = {Nr. 10 2023 110 203.6}, author = {Burkhardt, Mark and Joachim, Lena and Gienger, Andreas and Haala, Norbert and Sörgel, Uwe and Sawodny, Oliver}, month = {04}, organization = {Deutsches Patent- und Markenamt}, title = {Datenbasiertes Korrektursystem für Lastpositionsfehler von automatisierten Turmdrehkranen in Absolutkoordinaten}, year = 2023 }
2. Kölle, M., Walter, V., Shiller, I., & Soergel, U. (2023). Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing. https://doi.org/10.48550/arXiv.2308.14499
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  @misc{kölle2023efficient, archiveprefix = {arXiv}, author = {Kölle, Michael and Walter, Volker and Shiller, Ivan and Soergel, Uwe}, doi = {10.48550/arXiv.2308.14499}, eprint = {2308.14499}, primaryclass = {cs.IR}, title = {Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing}, url = {https://doi.org/10.48550/arXiv.2308.14499}, year = 2023 }
2022
1. Ackermann, S., & Joachim, L. (2022). Simulation und Auswertung eines photogrammetrischen Bildverbandes aus Krankamerabildern. 42. Wissenschaftlich-Technische Jahrestagung Der DGPF, 297–303. https://doi.org/10.24407/KXP:1796047422
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  @inproceedings{ackermann2022simulation, author = {Ackermann, Sylvia and Joachim, Lena}, booktitle = { 42. Wissenschaftlich-Technische Jahrestagung der DGPF}, doi = {https://doi.org/10.24407/KXP:1796047422}, month = {10}, pages = {297-303}, publisher = {Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V.}, title = {Simulation und Auswertung eines photogrammetrischen Bildverbandes aus Krankamerabildern}, year = 2022 }
2021
1. Joachim, L., Ackermann, S., Haala, N., & Soergel, U. (2021). Using Crane Cameras for Workspace Mapping and Monitoring for an Autonomous Tower Crane. Proceedings of the 7th International Conference on Machine Control & Guidance, 47–53. http://mobilearbeitsmaschine.de/downloads.html?file=files/MCG2021/MCG2021_Conference%20Proceedings_Web.pdf
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  @inproceedings{joachim2021using, author = {Joachim, Lena and Ackermann, Sylvia and Haala, Norbert and Soergel, Uwe}, booktitle = {Proceedings of the 7th International Conference on Machine Control & Guidance}, isbn = {978-3-00-071292-0}, month = {11}, pages = {47-53}, title = {Using Crane Cameras for Workspace Mapping and Monitoring for an Autonomous Tower Crane}, url = {http://mobilearbeitsmaschine.de/downloads.html?file=files/MCG2021/MCG2021_Conference%20Proceedings_Web.pdf}, year = 2021 }

Oliver Sawodny

Board of Directors

Phone: +49 711 685 66302

E-Mail

Dieter Schmalstieg

Principal Investigator

Phone: +49 711 685 88601

E-Mail

Robotic Platform Based on Autonomous Tower Crane

PEER-REVIEWED PUBLICATIONS

2025

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2024

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2023

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2022

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2021

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OTHER PUBLICATIONS

2023

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2022

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2021

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Oliver Sawodny

Dieter Schmalstieg

Audience

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