Paul Debus

Name:M.Sc. Paul Debus
Raum:Schwanseestraße 143, R. 2.36
Telefon:+49 (0) 36 43/58 37 30
E-Mail:paul.debus[at]uni-weimar.de
Sprechstunde:auf Anfrage
Lehre:
Forschung:Bauwerksinspektion mittels UAS, Flugplanung, Photogrammetrie

2021

  • Debus, P. and Satpute, A.: Bauhaus Path Planning Challenge - Evaluation and Comparison of UAS-Flight Path Planning Algorithms for the Inspection of Infrastructures, 32. Forum Bauinformatik: von jungen Forschenden für junge Forschende: Tagungsband, September 09-10, 2021, Darmstadt, Germany. DOI
  • Debus, P. and Rodehorst, V.: Evaluation of 3D UAS Flight Path Planning Algorithms, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2021, 157–164, 2021. DOI
  • Benz, Alexander, Jakob Taraben, Paul Debus, Bedilu Habte, Luise Oppermann, Norman Hallermann, Conrad Voelker, Volker Rodehorst, and Guido Morgenthal. “Framework for a UAS-Based Assessment of Energy Performance of Buildings.” Energy and Buildings, July 2021, 111266. DOI

2020

  • P. Debus, V. Rodehorst: (2021) Multi-scale Flight Path Planning for UAS Building Inspection. In: Toledo Santos E., Scheer S. (eds) Proceedings of the 18th International Conference on Computing in Civil and Building Engineering. ICCCBE 2020. Lecture Notes in Civil Engineering, vol 98. Springer, Cham. DOI

2019

  • C. Benz, P. Debus, H.-K. Ha, V. Rodehorst: Crack Segmentation on UAS-based Imagery using Transfer Learning. Image and Vision Computing New Zealand, IVCNZ, Dunedin.
  • P. Debus, C. Benz: Verbesserung der Risserkennung in UAS Bildern durch Fusion mehrerer Aufnahmen. Forum Bauinformatik, Berlin.
  • Thiel,C., Kersten, J., Hese, S., Truckenbrodt, S., Kunz, M., Debus, P., Rodehorst, V., Hallermann, N., Eckardt, R.: Comparison of 3D point cloud quality based on image data acquired with various UAV- and camera systems from low cost to professional,  Arbeitskreistreffen des AK Fernerkundung der DGfG, Kiel, 2019

  • P. Debus, C. Benz, V. Rodehorst: Multiple view anomaly detection in images from UAS structure inspection using CNNs, IABSE Conference, The Evolving Metropolis, New York, 2019.
  • 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.
  • Hallermann, N., Debus, P., Taraben, J., Benz, A., Morgenthal, G., Rodehorst, V., Völker, C., Abbas, T., Gebhardt, T., Daubert, S.: Unbemannte Fluggeräte zur Zustandsermittlung von Bauwerken – Fortsetzungsantrag (F3157), Forschungsinitiative Zukunft BAU, Fraunhofer IRB Verlag, ISBN 978-3-7388-0381-5, 2019

2018

  • 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.
  • 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. 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.