Yuandong Pan

Dr.-Ing. Yuandong Pan

Former Employee

Collins, F.; Noichl, F.; Pan, Y.; Carrara, A.; Mafipour, M. S.; Forth, K.; Borrmann, A.: Bestandserfassung mithilfe von Computer Vision Methoden – 18. In: Haghsheno, S.; Satzger, G.; Lauble, S.; Vössing, M. (Hrsg.): Künstliche Intelligenz im Bauwesen. Springer Fachmedien Wiesbaden, 2024, 309-326 mehr…
Noichl, F.; Collins, F. C.; Pan, Y.; Mafipour, M.S.; Mehranfar, M.; Borrmann, A.: From Purpose to Technology: A Requirements-Driven Approach to Designing Digital Twin Implementations – 5. In: Jebelli, Houtan; Asadi, Somayeh; Mutis, Ivan; Liu, Rui; Cheng, Jack (Hrsg.): Digital Twins in Construction and the Built Environment. American Society of Civil Engineers, 2024, 91-130 mehr…

Noichl, F.; Pan, Y.; Mafipour, M. S.; Braun, A.; Brilakis, I.; Borrmann, A.: From enriched point cloud to structural and MEP models: An automated approach to create semantic-geometric models for industrial facilities. Proc. of the ASCE International Conference on Computing in Civil Engineering, 2023 mehr…
Pan, Y.; Braun, A.; Borrmann, A.; I., Brilakis: 3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings. Smart Infrastructure and Construction 176 (1), 2023, 24-40 mehr…

Du, C.; Vega Torres, M.A.; Pan, Y.; Borrmann, A.: MV-KPConv: Multi-view KPConv For Enhanced 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Image. European Conference on Product and Process Modeling 2022, 2022 mehr…
Pan, Y.; Braun, A.; Brilakis, I.; Borrmann, A.: Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition. Automation in Construction 140, 2022, 104375 mehr…
Pan, Y.; Mafipour, S.; Mehranfar, M.: Enriching Point Features to Improve Semantic Segmentation of Point Clouds. Proceedings of 33. Forum Bauinformatik, 2022 mehr…
Pan, Yuandong; Noichl, Florian; Braun, Alexander; Borrmann, André; Brilakis, Ioannis: Automatic Creation and Enrichment of 3D Models for Pipe Systems by Co-registration of Laser-scanned Point Clouds and Photos. Proceedings of the 2022 European Conference on Computing in Construction, 2022 mehr…

Collins, F.; Mafipour, MS.; Noichl, F.; Pan, Y.; Vega Torres, M. A.: Towards applicable Scan-to-BIM and Scan-to-Floorplan: An end-to-end experiment. Proc. of the 32th Forum Bauinformatik, 2021 mehr…
Pan, Y.; Braun, A.; Borrmann, A.; I., Brilakis: Void-growing: a novel Scan-to-BIM method for manhattan world buildings from point cloud. Proceedings of the 2021 European Conference on Computing in Construction, 2021 mehr…

Brilakis, I. and Pan, Y. and Borrmann, A. and Mayer, H. and Rhein, F. and Vos, C. and Pettinato, E. and Wagner, S.: Built Environment Digital Twinning. Technische Universität München, 2020, mehr…

BASAK, A.: Image-Based Localization in 3D Point Clouds. , 2021 mehr…
Kossat, R.: Point Cloud Completion by Deep Learning. , 2021 mehr…
Liu, C.: Localizing and Matching CAD Model in Point Cloud Using Semantic Registration Method. , 2021 mehr…
Wichmann, S.: Data Preparation for the Evaluation of Point Cloud Segmentation by Deep Learning. Bachelor's thesis, 2021 mehr…