2024

    • Al-Wesabi, T., Bach, A., Schönfelder, P., Staka, I. & König, M. (2024). Extracting Information from Old and Scanned Engineering Drawings of Existing Buildings for the Creation of Digital Building Models. In: S. Skatulla, H. Beushausen (Hrsg.), Advances in Information Technology in Civil and Building Engineering, ICCCBE 2022, Lecture Notes in Civil Engineering, vol 357. Springer. https://doi.org/10.1007/978-3-031-35399-4_14
    • Schönfelder, P., Stebel, F., Andreou, N. & König, M. (2024). Deep learning-based text detection and recognition on architectural floor plans, Automation in Construction, vol. 157, p. 105156, 2024. https://doi.org/10.1016/j.autcon.2023.105156

2023

    • Brauksiepe, M., Dollendorf, M., Santehanser, T., Wilkop, S., & Schönfelder, P. (2023). Towards the rule-based synthesis of realistic floor plan images: a detailed guide. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 316–323). Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10089
    • Faltin, B., Schönfelder, P, & König, M. (2023). Improving symbol detection on engineering drawings using a keypoint-based deep learning approach. In The 30th EG-ICE: International Conference on Intelligent Computing in Engineering.
    • Faltin, B., Schönfelder, P., & König, M. (2023). Inferring interconnections of construction drawings for bridges using deep learning-based methods. In E. Hjelseth, S. Sujesh F. , & R. F. Scherer (Hrsg.), ECPPM 2022 (Verlagsversion, S. 343–350). Taylor & Francis. https://doi.org/10.1201/9781003354222-44
    • Gann, D., & Faltin, B. (2023). Eine Vergleichsstudie von Deep Learning Architekturen für die automatische Symboldetektion in Bauwerksplänen. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 332–339). Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10098 [Titel anhand dieser DOI in Citavi-Projekt übernehmen]
    • Gard, N., & Cambeiro Barreiro, A. (2023). Towards automated digital building model generation from floorplans and on-site images. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 414–422). Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10132
    • J. Künzel, D. Vehar, R. Nestler, K. Franke, A. Hilsmann, P. Eisert, System for 3D Acquisition and 3D Reconstruction using Structured Light for Sewer Line Inspection, Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP), Lisbon, Portugal, Feb. 2023.
    • Kurupathi, S. R., & Park, D. (2023). Entity-as-node based classification of CAD entities using graph neural Networks. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 242–249. Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10134
    • Mahameed, I., & Faltin, B. (2023). Dual-PointNet: a two-stage deep learning network for semantic segmentation of point clouds. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 390–397). Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10125
    • Schönfelder, P., Aziz, A., Faltin, B., & König, M. (2023). Automating the retrospective generation of as-is bim models using machine learning, Automation in Construction, vol. 152, p. 104937, 2023. https://doi.org/10.1016/j.autcon.2023.104937
    • Soultana, A., & Aziz, A. (2023). Active learning approach fpr object detection in technical building equipment images. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 431–439). Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10103
    • Zepp, M. (2023). Hybrid semantic clustering of 3D point clouds in construction. In K. Sigalov, P. Hagedorn, P. Schönfelder, B. Faltin, S. Zentgraf, & M. Block (Hrsg.), Tagungsband 34. Forum Bauinformatik 2023 (Verlagsversion, S. 423–430. Universitätsbibliothek, Ruhr-Universität Bochum. https://doi.org/10.13154/294-10133

2022

  • Çelik, F., & König, M. (2022). A sigmoid‐optimized encoder–decoder network for crack segmentation with copy‐edit‐paste transfer learning. In Computer‐Aided Civil and Infrastructure Engineering, S. 1-16. https://doi.org/10.1111/mice.12844

2021

  • Schönfelder, P., & König, M. (2021). Deep learning-based entity recognition in construction regulatory documents. In C. Feng, T. Linner, & I. Brilakis (Hrsg.), 2021 Proceedings of the 38th International Symposium on Automation and Robotics in Construction (publishers_version, S. 387–394). International Assoc. for Automation and Robotics in Construction. https://doi.org/10.22260/isarc2021/0054
    The paper was presented at The 38th ISARC Symposium conference (2-4 Nov. 2021) and is available.
  • Lecture about „A Systematic Review of Image-Based Technologies for Detecting As-Is BIM Objects“ (Angelina Aziz, Prof. Markus König; Prof. Jens-Uwe Schulz) at the conference International Conference on Computing in Civil Engineering (i3CE).
    Publication in the conference proceedings is expected in March 2022.
  • Lecture about „Improving 2D Construction Plans with Cycle-consistent Generative Adversarial Networks (#CycleGAN)“ (Firdes Celik, Benedikt Faltin, Prof. Markus König) auf der Konferenz ASCE International Conference on Computing in Civil Engineering (#i3CE2021).
    Publication in the conference proceedings is expected in March 2022.
  • Lecture about „Combining Local and Global Pose Estimation for Precise Tracking of Similar Objects“ (Niklas Gard, Anna Hilsmann, Peter Eisert:) in the framework of the conference Proc. VISAPP in February 2022.