Research LOKI

Automatic damage detection: In order to determine the relevance of the detected damage, methods will be developed to combine:

• image-based damage detection with 3D geometric damage detection.
• machine learning with visual (semantic) interpretation by crowdsourcing.

Crowdsourcing and user-generated geoinformation: Methods developed for:

• (3D) Micro-Mapping for damage mapping and evaluation of the generated information.
• determining the influencing factors and the optimal combination with automatic, computer-based damage detection.

Aeromey GmbH

UAV-Infrastructure: Development of an ad-hoc network among UAVs, for smooth and fast communication even over longer distances.

FZI Research Center for Information Technology

Coordination mechanisms for UAV fleets: Coordination mechanisms for UAV fleets: Development of real-time capable and adaptive planning mechanisms for UAVs and investigation of decentralized coordination mechanisms, with which UAVs themselves coordinate the division of the area, the prioritization of targets and the route to be flown.

German Research Center for Geoscience (GFZ)

Exposure modelling: Integration of crowdsourcing and primary UAV overflights into building-specific (iterative) exposure modelling, as well as the adaptation of corresponding evaluation algorithms. This approach is capable of working with very heterogeneous data availability.

Karlsruhe Institute of Technology (KIT)

Earthquake engineering for damage classification: Development of damage interpretation rules and decision criteria for (semi-)automatic damage assessment using UAV flying and crowdsourcing.

Earthquake Research Institute
University of Tokyo, Japan

Department of Geomatics
National Cheng Kung University (NCKU), Taiwan

Dipartimento di Scienze della Terra, dell’Ambiente e delle Risorse (DiSTAR)
Università di Napoli Federico II, Italy

Kathmandu Living Labs, Nepal

Arbeiter-Samariter-Bund Mannheim

Branddirektion Karlsruhe

Deutsches Rotes Kreuz Berlin

Feuerwehr Heidelberg

Technisches Hilfswerk Heidelberg

Zahs, V., Kohns, J., Meyer, F., Schorlemmer, D., Anders, K., Klonner, C., Mey, H., Oostwegel, L., Zadeh, T. & Höfle, B. (2023): LOKI – Luftgestützte Observation Kritischer Infrastrukturen. Schlussbericht. Ruprecht-Karls-Universität Heidelberg, 120 S. DOI: 10.2314/KXP:1885697937.

Zahs, V., Anders, K., Kohns, J., Stark, A. & Höfle, B. (2023): Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data.International Journal of Applied Earth Observation and Geoinformation. Vol. 122, pp. 103406. DOI: 10.1016/j.jag.2023.103406

Zahs, V., Anders, K., Kohns, J., Stark, A. & Höfle, B. (2023): Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data [Data and Source Code]. heiDATA. DOI: 10.11588/data/D3WZID

Ullah, T., Lautenbach, S., Herfort, B., Schorlemmer, D. (2023): Assessing Completeness of OpenStreetMap Building Footprints Using a Gamification Approach in MapSwipe. Preprints 2023, 2023010550. DOI: 0.20944/preprints202301.0550.v1

Zahs, V., Anders, K., Kohns, J., Stark, A. & Höfle, B. (2023): Classification of structural building damage grades from multi-temporal photogrammetric point clouds using a machine learning model trained on virtual laser scanning data. arXiv:2302.12591 [cs.CV]. DOI: 10.48550/arXiv.2302.12591

Kohns, J., Stempniewski, L. & Stark, A. (2022): Fragility Functions for Reinforced Concrete Structures Based on Multiscale Approach for Earthquake Damage Criteria. Buildings. Vol. 12(08), pp. 1-17. DOI: 10.3390/buildings12081253

Kohns, J., Stempniewski, L. & Stark, A. (2022): Entwicklung von Schadenskatalogen für die visuelle Beurteilung von Gebäuden im Erdbebenfall. Bauingenieur, Vol. 12, pp. 403-412.

Kohns, J., Stempniewski, L. & Stark, A. (2022): Earthquake damage criteria for non-linear analysis of reinforced concrete buildings as basis for fragility functions. Proceedings of the 3rd European Conference on Earthquake Engineering & Seismology, Bucharest, Romania, pp. 1646-1653.

Meyer, F. & Glock, K. (2022): Kinematic Orienteering Problem With Time-Optimal Trajectories for Multirotor UAVs. IEEE Robotics and Automation Letters. Vol. 7(4), pp. 11402-11409. DOI: doi: 10.1109/LRA.2022.3194688.

Winiwarter, L., Esmorís Pena, A. M., Zahs, V., Weiser, H., Searle, M., Anders, K., & Höfle, B. (2022): Virtual Laser Scanning using HELIOS++ - Applications in Machine Learning and Forestry. EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022. DOI: 10.5194/egusphere-egu22-8671.

Winiwarter, L., Esmorís Pena, A., Weiser, H., Anders, K., Martínez Sanchez, J., Searle, M. & Höfle, B. (2022): Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic full-waveform 3D laser scanning. Remote Sensing of Environment. Vol. 269. DOI: 10.1016/j.rse.2021.112772.

Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M. & Höfle, B. (2022): Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 183, pp. 541-559. DOI: 10.1016/j.isprsjprs.2021.11.018.

Zahs, V., Winiwarter, L., Anders, K., Williams, J.G., Rutzinger, M. & Höfle, B. (2022): Correspondence-driven plane-based M3C2 for lower uncertainty in 3D topographic change quantification [Data and Source Code]. heiDATA. DOI: 10.11588/data/TGSVUI.

Kohns, J. & Stempniewski, L. (2021): Classification of earthquake-induced building damage using innovative methods. IABSE Congress Ghent 2021, pp. 1366–1374.

Kohns, J. & Stempniewski, L. (2021): Entwicklung von Schadenskriterien für nichtlineare Erdbebenuntersuchungen an Stahlbeton- und Mauerwerksgebäuden. Tagungsband zur 17. D-A-CH-Tagung Erdbebeningenieurwesen und Baudynamik, pp. 101-102.

Kohns, J., Zahs, V., Ullah, T., Schorlemmer, D., Nievas, C., Glock, K., Meyer, F., Mey, H., Stempniewski, L., Herfort, B., Zipf, A. & Höfle, B. (2021): Innovative methods for earthquake damage detection and classification using airborne observation of critical infrastructures (project LOKI). In: EGU General Assembly 2021. Vol. EGU21 (EGU21-2712), pp. 1-2. DOI: 10.5194/egusphere-egu21-2712.

Meyer, F. & Glock, K. (2021): Trajectory-based Traveling Salesman Problem for Multirotor UAVs. 17th International Conference on Distributed Computing in Sensor Systems (DCOSS), pp. 335-342. DOI: 10.1109/DCOSS52077.2021.00061.

Zahs, V., Herfort, B., Kohns, J., Ullah, T., Anders, K., Stempniewski, L., Zipf, A. & Höfle, B. (2021): 3D point cloud-based assessment of detailed building damage through a combination of machine learning, crowdsourcing and earthquake engineering. In: EGU General Assembly 2021. Vol. EGU21 (EGU21-1304), pp. 1-2. DOI: 10.5194/egusphere-egu21-1304.