Publications

D. Tschirschwitz and V. Rodehorst: KαLOS finds Consensus: A Meta-Algorithm for Evaluating Inter-Annotator Agreement in Complex Vision Tasks, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, Colorado, S. 38554-38563, 2026. [web] [paper] [supp]

G. Morgenthal, N. Hallermann, J. Kersten, J. Taraben, P. Debus, M. Helmrich and V. Rodehorst: Framework for Automated UAS-based Structural Condition Assessment of Bridges, Automation in Construction 97, 2019, S. 77–95. [doi] [Google Scholar]

Latest

P. Debus: Object-aware UAS Flight Path Planning for Image-based 3D Structure Inspection, dissertation thesis, Bauhaus-Universität Weimar, July 20, 2026, 231 p. [doi]

C. Benz: Image-Based Crack Detection for Structural Inspection, dissertation thesis, Bauhaus-Universität Weimar, February 3, 2026, 178 p. [doi]

G. Mazahn, K. Anwander, M. Mertens, G. Morgenthal, V. Rodehorst, M. von Butler-Helmrich and A. Stanic: Zustandserfassung, In: K. Bergmeister, J.-D. Wörner, F. Fingerloos (Eds.), Bauen im Bestand – Brückenbau, Beton‐Kalender 2026, vol 1, Ernst & Sohn, ISBN 9783433034644, 2025, pp. 35-53. [doi]

T. Gebhardt: Entwicklung eines faseroptischen Neigungsmesssystems für die Bauwerksüberwachung, dissertation thesis, Bauhaus-Universität Weimar, September 15, 2025, 203 p. [doi]

Earlier

V. Rodehorst: Photogrammetric Computer Vision for spatio-temporal 3D reconstruction, habilitation thesis, Technische Universität Berlin, May 2013, 187 p.

Latest

C. Benz, P. Debus, T. Gebhardt, E. Friedli, S. Schuhbäck, T. Zimmer, G. Morgenthal and V. Rodehorst: AI-assisted inspection of concrete surfaces at dams, Allgemeine Vermessungs-Nachrichten (avn), 130(2023)6, 2023, pp. 215-225. [web]

A. Benz, C. Voelker, S. Daubert and V. Rodehorst: Towards an automated image-based estimation of building age as input for Building Energy Modeling (BEM), Energy and Buildings, Vol. 292, 2023. [doi]

A. Benz, J. Taraben, P. Debus, B. Habte, L. Oppermann, N. Hallermann, C. Voelker, V. Rodehorst and G. Morgenthal: Framework for a UAS-based assessment of energy performance of buildings, Energy and Buildings, Vol. 250, 2021. [doi]

Earlier

L. Becher, C. Voelker, V. Rodehorst and M. Kuhne: Background-oriented schlieren technique for two-dimensional visualization of convective indoor air flows, Optics and Lasers in Engineering, Vol. 134, 2020. [doi]

G. Morgenthal, N. Hallermann, J. Kersten, J. Taraben, P. Debus, M. Helmrich and V. Rodehorst: Framework for Automated UAS-based Structural Condition Assessment of Bridges, Automation in Construction 97, 2019, pp. 77–95. [doi]

N. Hallermann, M. Helmrich, G. Morgenthal, E. Schnitzler, V. Rodehorst and P.Debus: UAS‐basierte Diagnostik von Infrastrukturbauwerken, Bautechnik, vol. 95, no. 10, Wiley, 2018, pp. 720-726. [doi]

M. Kossatz and V. Rodehorst: Visualisierung und Bearbeitung der historischen Entwicklung von Ländern in Raum und Zeit mit HistoGlobe, gis.Science, vol. 1, Wichmann, 2017, pp. 10-18. [web]

S. Bock, T. Gebhardt, J. Hildebrand, W. Schwarz, A. Almamou and S. Herzog: Qualitätskontrolle von Ingenieurkonstruktionen durch terrestrisches Laserscanning, Allgemeine Vermessungs-Nachrichten (avn), 123(2016), 8-9, 2016, pp. 239-252. [web]

M. Gutermann, W. Schwarz and T. Gebhardt: Dynamische Verformungsmessungen an weitgespannten Brückentragwerken, Messtechnik im Bauwesen, Ernst & Sohn Special, March 2015, pp. 20-24. [web]

J. Kersten and C. Clemen: Automatisches Differenzieren zum Lösen nichtlinearer Gleichungssysteme in der Ausgleichungsrechnung, ZfV, February 2015. [doi]

S. Martinis, J. Kersten and A. Twele: A fully automated TerraSAR-X based flood service, ISPRS Journal of Photogrammetry and Remote Sensing, September 2014. [doi]

J. Kersten: Simultaneous feature selection and Gaussian mixture model estimation for supervised classification problems, Pattern Recognition, Elsevier, ISSN 0031-3203, vol. 47, issue 8, August 2014, pp. 2582-2595. [doi]

S . Bock, T. Gebhardt and M. Kuhne: Entwicklung von faseroptischen Messsystemen, Allgemeine Vermessungs-Nachrichten (avn), 121(2014)3, 2014, pp. 97-111. [web]

Latest

H.A. Ognawala, D. Tschirschwitz, C.R. Jung & V. Rodehorst: Learning from Disagreement: Curating Multi-Annotator Labels into Probabilistic Supervision. European Conference on Computer Vision Workshops (ECCV-W) 2nd Workshop on Curated Data for Efficient Learning (CDEL), 2026. [web] [paper] [code]

D. Tschirschwitz and V. Rodehorst: KαLOS finds Consensus: A Meta-Algorithm for Evaluating Inter-Annotator Agreement in Complex Vision Tasks, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, Colorado, pp. 38554-38563, 2026. [web] [paper] [supp]

A. Frolov and V. Rodehorst: Patch Your Matcher: Correspondence-Aware Image-to-Image Translation Unlocks Cross-Modal Matching via Single-Modality Priors, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 7913-7924, 2026. [web] [paper] [supp] [code]

D. Tschirschwitz and V. Rodehorst: CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 7594-7602, 2025. [doi] [web] [paper] [CISOL]

A. Frolov, F. Kleiner, C. Rößler and V. Rodehorst: Needles & Haystacks - Dataset and Benchmark for Domain-Agnostic Image-Based Rigid Slice-to-Volume Registration, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 7081-7091, 2025. [doi] [web] [paper] [supp] [NH-RS2V]

D. Tschirschwitz and V. Rodehorst: Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 6848-6857, 2025. [doi] [web] [paper] [supp]

C. Benz and V. Rodehorst: CrackStructures and CrackEnsembles - The Power of Multi-View for 2.5D Crack Detection, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, pp. 5990-5999, 2025. [doi] [web] [paper] [CrackStructures]

C. Benz and V. Rodehorst: MVCrackViT: Robust Multi-View Crack Detection for Point Cloud Segmentation using View Attention, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pp. 3443-3449, 2024. [doi] [paper]

C. Benz and V. Rodehorst: ENSTRECT - A Stage-based Approach to 2.5D Structural Damage Detection, European Conference on Computer Vision (ECCV) 2nd Workshop on Vision-based InduStrial InspectiON (VISION), Milan, Italy, Lecture Notes in Computer Science, vol. 15626, Springer, pp. 409–427, 2024. [doi] [preprint] [code]

M. Florek, D. Tschirschwitz, B. Barz and V. Rodehorst: Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval, In: Proc. DAGM GCPR 2024, Pattern Recognition, Lecture Notes in Computer Science, vol. 15297, Springer, pp. 164–180, 2024. [doi] [preprint]

P. Debus and V. Rodehorst: UAS Flight Path Planning: A Comparative Analysis of Diverse Use Cases and Approaches, 3D GeoInfo Conference, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4/W5-2024, pp. 111–118, 2024. [doi] [paper]

C. Benz and V. Rodehorst: OmniCrack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June, pp. 3876-3886, 2024. [doi] [web] [paper] [poster] [OmniCrack30k]

J. Flotzinger, P. J. Rösch, C. Benz, M. Ahmad, M. Cankaya, H. Mayer, V. Rodehorst, N. Oswald and T. Braml: Dacl-Challenge: Semantic Segmentation During Visual Bridge Inspections, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pp. 716-725, 2024. [doi] [paper]

D. Tschirschwitz, C. Benz, M. Florek, H. Norderhus, B. Stein and V. Rodehorst: Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels, In: U. Köthe, C. Rother (Eds.) Pattern Recognition, DAGM GCPR 2023, Lecture Notes in Computer Science, Vol. 14264, Springer, pp. 605–623, 2024. [doi] [paper]

P. Debus und V. Rodehorst: Potential-guided UAV-Flight Path Planning for the Inspection of Complex Structures, ISPRS Geospatial Week 2023, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), XLVIII-1/W2-2023, Cairo, Egypt, pp. 291–298, 2023. [doi] [paper] [code]

D. Tschirschwitz, F. Klemstein, H. Schmidgen and V. Rodehorst: Drawing the Line: A Dual Evaluation Approach for Shaping Ground Truth in Image Retrieval Using Rich Visual Embeddings of Historical Images, 7th International ICDAR Workshop on Historical Document Imaging and Processing (HIP), Association for Computing Machinery, San José, USA, pp. 13–18, 2023. [doi] [DHMTIC] [DHREAAL] [paper]

D. Tschirschwitz, F. Klemstein, B. Stein and V. Rodehorst: A Dataset for Analysing Complex Document Layouts in the Digital Humanities and Its Evaluation with Krippendorff’s Alpha, In: B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke, I. Ihrke (Eds.) Pattern Recognition, DAGM GCPR 2022, Lecture Notes in Computer Science, vol. 13485, Springer, pp. 354-374, 2022. [doi] [TexBiG] [paper]

C. Benz and V. Rodehorst: Image-Based Detection of Structural Defects Using Hierarchical Multi-scale Attention, In: B. Andres, F. Bernard, D. Cremers, S. Frintrop, B. Goldlücke, I. Ihrke (Eds.) Pattern Recognition, DAGM GCPR 2022, Lecture Notes in Computer Science, vol. 13485, Springer, pp. 337-353, 2022. [doi] [S2DS] [code]

S. Daubert, M. Geske, V. Rodehorst and C. Voelker: Correction of Sensor Noise of Images from Uncooled Thermographic Cameras in Energetic Building and Neighborhood Analysis, In: Proceedings of BauSIM, Weimar, Germany, 20.-22.September 2022. [doi]

C. Benz and V. Rodehorst: Image-based Control Point Detection and Correspondence-free Georeferencing, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), V-2-2022, Nice, France, pp. 399–406, 2022. [doi]

M. Kaisheva and V. Rodehorst: A Comparative Survey of Geometric Light Source Calibration Methods, In: C. Bauckhage, J. Gall, A. Schwing (Eds.) Pattern Recognition, DAGM GCPR 2021, Lecture Notes in Computer Science, vol. 13024, Springer, pp. 663–680, 2021. [doi] [video]

P. Debus and A. Satpute: Bauhaus Path Planning Challenge - Evaluation and Comparison of UAS-Flight Path Planning Algorithms for the Inspection of Infrastructures, 32. Forum Bauinformatik, Darmstadt, pp. 308-315, 9.-10. September, 2021. [doi]

C. Benz and V. Rodehorst: Model-based crack width estimation using rectangle transform, International Conference on Machine Vision Applications (MVA), Nagoya, Japan, pp. 1-5, 2021. [doi] [paper] [code]

A. Frolov, G. Rendle, A. Kreskowski, M. Kaisheva, B. Fröhlich and V. Rodehorst: Towards free-viewpoint video capture in challenging environments for collaborative & immersive analysis, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), XLIII-B2-2021, Nice, France, pp. 419–426, 2021. [doi]

P. Debus and V. Rodehorst: Evaluation of 3D UAS flight path planning algorithms, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (IAPRS), XLIII-B1-2021, Nice, France, pp. 157–164, 2021. [doi] [BPPC]

Earlier

P. Debus and V. Rodehorst: Multi-scale Flight Path Planning for UAS Building Inspection, In: E.T. Santos, S. Scheer (Eds.), Proceedings of the 18th International Conference on Computing in Civil and Building Engineering (ICCCBE 2020), Lecture Notes in Civil Engineering, Vol. 98, Springer, pp. 1069-1085, 2020. [doi]

C. Benz, P. Debus, H.K. Ha and V. Rodehorst: Crack Segmentation on UAS-based Imagery using Transfer Learning, Image and Vision Computing New Zealand (IVCNZ), Dunedin, New Zealand, pp. 1–6, 2019. [doi] [UAV75]

P. Debus and C. Benz: Verbesserung der Risserkennung in UAS Bildern durch Fusion mehrerer Aufnahmen, Forum Bauinformatik, Berlin, pp. 257-264, 2019. [doi]

P. Debus, C. Benz and V. Rodehorst: Multiple view anomaly detection in images from UAS structure inspection using CNNs, IABSE Conference, The Evolving Metropolis, New York, pp. 1984–1991, 2019. [doi]

C. Thiel, J. Kersten, S. Hese, S. Truckenbrodt, M. Kunz, P. Debus, V. Rodehorst, N. Hallermann, R. Eckardt, A. Gräf, F. Klan: Towards specifying and optimizing 3D point cloud quality based on UAV-borne image data acquired by citizen scientists, Remote sensing working group at the German Congress for Geography, Kiel, 2019.

C. Thiel, J. Kersten, S. Hese, S. Truckenbrodt, M. Kunz, P. Debus, V. Rodehorst, N. Hallermann, R. Eckardt, A. Gräf: Comparison of 3D point cloud quality based on image data acquired with various UAV- and camera systems from low cost to professional, Living Planet Symposium (LPS) of the European Space Agency (ESA), Milano, Italy, 2019.

J. Taraben, P. Brust, P. Debus, G. Morgenthal and E. Tauscher: Approach for the IFC based Integration of Life Cycle Data and Processes in Building Information Models. 17th International Conference on Computing in Civil and Building Engineering (ICCCBE), Tampere, 2018.

J. Taraben, N. Hallermann, J. Kersten, G. Morgenthal and V. Rodehorst: Case study for the integration of geometrical analyses for structural condition assessment in building information models, Materials Science and Engineering, Vol. 365, No. 2, p. 022054, IOP Publishing, Moskau, 2018.

J. Kersten, V. Rodehorst, N. Hallermann, P. Debus, G. Morgenthal: Potentials of autonomous UAS and automated image analysis for structural health monitoring, IABSE Conference, Tomorrow’s Megastructures, Nantes, 2018.

N. Hallermann, G. Morgenthal, J. Kersten and V. Rodehorst: Von der Bauwerksbefliegung mit UAS zu hochauflösenden Geometriemodellen. Messen im Bauwesen 2017 – Messverfahren und deren bautechnische Anwendung, Berlin, 2017.

J. Kersten and V. Rodehorst: Enhancement Strategies for Frame-to-Frame UAS Stereo Visual Odometry, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B3, XXIII ISPRS Congress, Prague, Czech Republic, pp. 511–518, 12–19. July 2016.

T. Gebhardt, J. Hildebrand, W. Schwarz, S. Bock, S. Herzog and A. Almamou: Qualitätssicherung von Brückenbauwerken während der Fertigung und Montage sowie im Betrieb mit terrestrischem Laserscanning, 2. Brückenkolloquium Beurteilung, Ertüchtigung und Instandsetzung von Brücken, Ostfildern/Stuttgart, pp. 311–320, 21–22. June 2016.

N. Hallermann, G. Morgenthal and V. Rodehorst: Vision-based monitoring of heritage monuments – Unmanned Aerial Systems (UAS) for detailed inspection and high-accurate survey of structures, STREMAH 2015, 14. International Conference on Studies, Repairs and Maintenance of Heritage Architecture, LaCoruna, 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Unmanned Aerial Systems (UAS) – Case studies of vision based monitoring of aging structures, NDT-CE 2015, International Symposium Non-Destructive Testing in Civil Engineering, Berlin, 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Unmanned Aerial Systems (UAS) – Survey and monitoring based on high-quality airborne photos, IABSE Conference, Structural Engineering Providing Solutions to Global Challenges, Geneva, 2015.

V. Rodehorst: Evaluation of the metric trifocal tensor for relative three-view orientation, 20. International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM2015), K. Gürlebeck and T. Lahmer (Eds.), Weimar, 20.–22. July 2015.

J. Kersten and V. Rodehorst: Towards Stereo Vision- and Laser Scanner-Based UAS Pose Estimation, 20. International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM2015), K. Gürlebeck and T. Lahmer (Eds.), Weimar, 20.–22. July 2015.

A. Almamou, T. Gebhardt, S. Bock, J. Hildebrand and W. Schwarz: Quality control of constructed models using 3D point clouds, 20. International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering (IKM2015), K. Gürlebeck and T. Lahmer (Eds.), Weimar, 20.–22. July 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Vision-based deformation monitoring of large scale structures using Unmanned Aerial Systems, 37th IABSE Symposium, Engineering for Progress, Nature and People, Madrid, Spain, 2014, pp. 1–8.

S. Bock, T. Gebhardt, M. Kuhne and W. Schwarz: Ein faseroptischer Sensor zur zweiachsigen Neigungsmessung, In: Wissenschaftliche Berichte, Wissenschaftliche Zeitschrift der Hochschule Mittweida, Vol. 4, 2014, pp. 23–26.

S. Bock, T. Gebhardt, M. Kuhne and W. Schwarz: Konzeption eines zweiachsigen Neigungssensors basierend auf optisch-mechanischen Prinzipien, In: J. Stahlmann (Eds.), Messen in der Geotechnik 2014, Mitteilung des Instituts für Grundbau und Bodenmechanik, Technische Universität Braunschweig, Vol. 98, 2014, pp. 331–344.

M. Gutermann, W. Schwarz and T. Gebhardt:
Erfahrungsbericht - Verformungsmessungen an Bauwerken mit großer Stützweite. In: M. Curbach, H. Opitz, S. Scheerer, T. Hampel (Hrsg.), 7. Symposium Experimentelle Untersuchungen von Baukonstruktionen. Schriftenreihe Konstruktiver Ingenieurbau Dresden, Vol. 32, 2013, pp. 51–64.

T. Gebhardt: Laserinterferometrie - Messprinzip und Anwendungen. In: F. Neitzel (Hrsg.), Tech13 - Trends im Vermessungswesen: Aktuelle Trends und Herausforderungen in der Ingenieurgeodäsie, Berlin, 2013, pp. 167–193.

A. Friedrich, T. Gebhardt and B. Resnik: Genauigkeitsuntersuchung eines mehrachsigen Beschleunigungssensors mittels Laserinterferometer, In: S. Weisbrich and R. Kaden (Eds.), Entwicklerforum Geodäsie und Geoinformationstechnik 2011 - junge Wissenschaftler forschen, Shaker, Aachen, 2012, pp. 25–34.

Latest

V. Rodehorst, P. Debus, G. Morgenthal, S. Rau, P. Schallauer: ev.AI.luate - Evaluation of AI methods for damage detection on engineering structures in the context of image quality, D-A-CH Cooperation Transport Infrastructure Research (DACH 2021), Austrian Research Promotion Agency (FFG), 109 p., 2023. [web]

G. Morgenthal, C. Völker, V. Rodehorst, M. Geske, J. Taraben and S. Daubert: smoodPLAN - Entwicklung eines modularen Produkt- und Dienstleistungsangebotes für Bestandserfassung, Konzeption, Evaluation und Informationsmanagement für ganzheitliche Quartierssanierungsplanung, Wachstumskern smood, Verbundprojekt 1, Teilprojekt 1.2: Smood PLAN Quartiersbezogene Datenaufnahme und -prozessierung - ScanSim, Technical Information Library (TIB), 24 p., 2022. [web]

G. Morgenthal, V. Rodehorst, N. Hallermann, P. Debus and C. Benz: Inspections of structures in accordance with DIN 1076 – support by (semi-)automated image analysis with UAV (unmanned aerial vehicles), report on research project 89.0334, German Federal Highway Research Institute (BASt), Fachverlag NW, 91 p., 2021. [web]

Bauhaus-Universität Weimar (Chairs MKS, CV and VR), GMTIB and pons asini: Verbundprojekt DenkmalDigital im WIR! Bündnis Vogtlandpioniere - Grundlagen der Digitalisierung in Denkmalpflege und Sanierung, Technical Information Library (TIB), 56 p., 2021. [doi]

Earlier

N. Hallermann, P. Debus, J. Taraben, A. Benz, G. Morgenthal, V. Rodehorst, C. Völker, T. Abbas, T. Gebhardt and S. Daubert: Unbemannte Fluggeräte zur Zustandsermittlung von Bauwerken – Fortsetzungsantrag (F3157), Forschungsinitiative Zukunft BAU, Fraunhofer IRB Verlag, 61 p., 2019. [web]

J. Kersten, N. Hadidian, K. Hwirang, A. Karagianni, Y. Kazmi, F. Manojlovski: Object-based analysis of satellite images for building change detection after an earthquake: The case study of L'Aquila, Forecast Engineering: From Past Design to Future Decision 2017, Bauhaus Universitätsverlag, pp. 20-31, 2019. [doi]

J. Kersten, M.C. Borrero, E. Budak, K.C. Erkmen and M. Ghalandari: Machine Learning for Segment-based Change Detection in Very High Resolution Optical Satellite Imagery, Forecast Engineering: From Past Design to Future Decision 2016, vol. 32, Bauhaus Universitätsverlag, pp. 132-144, 2018. [web]

A. Cerovecki, S. Gharahjeh, E. Harirchian, D. Ilin, K. Khotnikova and J. Kersten: Evaluation of Change Detecton Techniques using Very High Resolution Optical Satellite Imagery, Forecast Engineering: From Past Design to Future Decision 2015, vol. 32, Bauhaus Universitätsverlag, pp. 20-33, 2018. [web]

Latest

A. Frolov, F. Kleiner, C. Rößler and V. Rodehorst: Needles & Haystacks: Dataset and Benchmark for Domain-Agnostic Image-Based Rigid Slice-to-Volume Registration, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, Version WACV2025, Zenodo, 2025. [doi]

C. Benz and V. Rodehorst: CrackStructures and CrackEnsembles - The Power of Multi-View for 2.5D Crack Detection, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, 2025. [web]

E. Gekeler, D. Tschirschwitz and V. Rodehorst: Construction Industry Steel Ordering Lists (CISOL) Dataset, Version 1.0, Zenodo, 2024. [doi]

C. Benz and V. Rodehorst: OmniCrack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024. [web]

D. Tschirschwitz, F. Klemstein, H. Schmidgen and V. Rodehorst: Digital Humanities Multi-Task Image Classification Dataset (DHMTIC), Version 0.5, 7th International Workshop on Historical Document Imaging and Processing (HIP), San José, USA, 2023. [doi]

D. Tschirschwitz, F. Klemstein, H. Schmidgen and V. Rodehorst: Digital Humanities Retrieval Evaluation Dataset for Art, Architecture and Life Sciences (DHREAAL), Version 0.5, 7th International Workshop on Historical Document Imaging and Processing (HIP), San José, USA, 2023. [doi]

C. Benz and V. Rodehorst: Structural Defects Dataset (S2DS), DAGM German Conference on Pattern Recognition (GCPR), Konstanz, Germany, 2022. [web]

D. Tschirschwitz, F. Klemstein, B. Stein and V. Rodehorst: TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities, Version 2.0, DAGM German Conference on Pattern Recognition (GCPR), Konstanz, 2022. [doi]

P. Debus and V. Rodehorst: Bauhaus Path Planning Challenge (BPPC), ISPRS Congress, Nice, France, 2021. [web]

Earlier

C. Benz, P. Debus, H.K. Ha and V. Rodehorst: Crack Segmentation on UAS-based Imagery using Transfer Learning, Image and Vision Computing New Zealand (IVCNZ), Dunedin, New Zealand, 2019. [web]

V. Rodehorst: AI-Based Surface Inspection – Fundamentals and Challenges, VERBUND INSPIRE Science Talk, Vienna, Austria, April 13, 2026.

V. Rodehorst: Image-based damage detection for structural inspection, Bauhaus Summer School – NextGen Engineers – Advanced Training Courses for a Sustainable Tomorrow, Weimar, August 27, 2025.

G. Morgenthal and V. Rodehorst: Digital photography and monitoring in structural inspection, Digitalization in structural inspection, Bochum, February 20, 2025.

V. Rodehorst: Image-based condition assessment of historical objects, Annual Conference Blue Shield Germany, Weimar, October 26, 2024.

V. Rodehorst: Image-based condition assessment of structures and in monument protection, Geodetic colloquium, Weimar, April 24, 2024.

V. Rodehorst and G. Morgenthal: Image-based damage detection and modelling of structures, GeoMonitoring, Braunschweig, February 29, 2024.

C. Benz: Image-based Structural Inspection from the Perspective of Computer Vision, 1st Workshop on Vision-Based Structural Inspections in Civil Engineering at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, January 7, 2024.

G. Morgenthal and V. Rodehorst: Image-based Condition Assessment and Damage Modelling for Large Infrastructures, PhD-Workshop DFG-SPP 2388 "Hundert plus", Worms, November 8, 2023.

V. Rodehorst: Image-based 3D Modeling and Anomaly Detection using Unmanned Aircraft Systems (UAS), Bauhaus Summer School - Virtualization, Visualization and Validation of Urban and Structural Building Responses, Weimar, August 12, 2022.

V. Rodehorst: Digital Photogrammetry, Workshop on Environmental Risk Assessment and Mitigation on Cultural Heritage Assets in Central Asia (ERAMCA), Weimar, July 19, 2022.

G. Morgenthal and V. Rodehorst: Testing aging infrastructure structures with digital technologies, 7th School MIT Science Thuringia Conference, Weimar, July 1, 2022.

V. Rodehorst: Image-based 3D Modeling and Anomaly Detection using Unmanned Aircraft Systems (UAS), Bauhaus Summer School - Virtualization, Visualization and Validation of Urban and Structural Building Responses, Weimar, August 16, 2021.

V. Rodehorst: Digitale Erfassung und Zustandsbewertung von Bauwerken, 65 years Faculty B, Bauhaus-Universität Weimar, July 10, 2019.

N. Hallermann, J. Kersten and T. Gebhardt: 3D-Vermessung der Figuren im Dom zu Halberstadt, DBU project Sculptures High Choir Halberstadt Cathedral, 10. Jan. 2018.

V. Rodehorst, G. Morgenthal and N. Hallermann: Automatisierte bildbasierte Erfassung geschädigter Betonbauteile, 4. WTA-Kolloquium Betoninstandhaltung, Erfurt, June 20, 2017.

N. Hallermann and V. Rodehorst: Luftbildgestützte automatisierte Zustandserfassung von Bauwerken, Nutzerorientierte Bausanierung (NuBau), Bauhaus-Universität Weimar, December 1, 2016.

V. Rodehorst and N. Hallermann: Automatisierte Schadenserkennung an Betontragwerken, Informationstag Ingenieurbau - Innovation, Normung, Praxis, Bauhaus-Universität Weimar, September 28, 2016.

V. Rodehorst and N. Hallermann: Vision-based Inspection of Structures using Unmanned Aircraft Systems (UAS), Bauhaus Summer School - Forecast Engineering: From past design to future decision, Weimar, August 26, 2016.

V. Rodehorst, G. Morgenthal and N. Hallermann: Luftbildgestützte automatische Schadenserkennung an Infrastrukturbauten, 3. WTA-Kolloquium Betoninstandhaltung, Rapperswil, Switzerland, June 14, 2016.

V. Rodehorst, N. Hallermann and G. Morgenthal: Verkehrsinfrastruktur-Monitoring mit unbemannten Flugsystemen (UAS), XVIII. Weimarer Straßenbau + Baustoffsymposium, Bauhaus-Universität Weimar, March 17, 2016.

V. Rodehorst: Computertomographische Volumenmesstechnik, Wissenschaftstag "In Bewegung", Bauhaus-Universität Weimar, November 18, 2015.

N. Hallermann, G. Morgenthal and V. Rodehorst: Luftbild-gestützte automatisierte Schadenserkennung an Betonoberflächen, 2. WTA-Kolloquium Betoninstandhaltung, Fulda, June 18, 2015.

V. Rodehorst and N. Hallermann: Erstellung von 3D-Bauwerksmodellen mit unbemannten Flugsystemen, VBI-Landesverband Thüringen, Bad Frankenhausen, June 13, 2015.

J. Trabert and V. Rodehorst: einBlick #35 – Ingenieurbüro Trabert + Partner, Bauhaus-Universität Weimar, December 11, 2014.

V. Rodehorst and N. Hallermann: Luftgestützte UAS-Photogrammetrie zur Bauwerksaufnahme, Informationstag Ingenieurbau - Innovation, Normung, Praxis, Bauhaus-Universität Weimar, October 1, 2014.

V. Rodehorst: Optical 3D Reconstruction for geometric validation, Bauhaus Summer School - Model Validation & Simulation, Weimar, August 7, 2013.

Frequently Searched Pages

Accessibility

Accessibility

Publications

Most recent post

Most cited post

Latest

Earlier

Archive

Latest

Earlier

Archive

Latest

Earlier

Archive

Latest

Earlier

Archive

Latest

NH-RS2V

CrackStructures & CrackEnsembles

CISOL

OmniCrack30k

DHMTIC

DHREAAL

S2DS

TexBiG

BPPC

Earlier

UAV75

Faculty of Media

Faculty of Civil and Environmental Engineering

Computer Science Department

Institute IBMB