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Technische Universität München
Technische Universität München

M. Saeed Mafipour

Research

2023

  • Mafipour, M. S.; Vilgertshofer, S.; Borrmann, A.: Automated Geometric Digital Twinning of Bridges from Segmented Point Clouds by Parametric Prototype Models. Automation in Construction 156, 2023 mehr…
  • Mafipour, M. S.; Vilgertshofer, S.; Borrmann, A.: Heuristic optimization for digital twin modeling of existing bridges from point cloud data by parametric prototype models. Proc. of the ASCE International Conference on Computing in Civil Engineering, 2023 mehr…
  • Mafipour, M.S.; Ahmed, D.; Vilgertshofer, S.; Borrmann, A.: Digitalization of 2D Bridge Drawings Using Deep Learning Models. Proc. of the 30th Int. Conference on Intelligent Computing in Engineering (EG-ICE), 2023 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…

2022

  • Borrmann, A.; Blankenbach, J.; Beetz, J.; König, M.; Becker, R.; T., Blut; F., Celik; B., Faltin; Göbels, A.; Mafipour, MS.; Martens, J.; Scheffer, M.; Vilgertshofer, S.: Technologien zur Generierung digitaler Zwillinge als Grundlage für Betrieb und Instandhaltung baulicher Infrastruktur. Lehrstuhl für Computergestützte Modellierung und Simulation, Technische Universität München, 2022, mehr…
  • Mafipour, M. S.; Vilgertshofer, S.; Borrmann, A.: Digital twinning of bridges from point cloud data by deep learning and parametric models. Proc. of European Conference on Product and Process Modeling 2022, 2022 mehr…
  • Mafipour, MS. ; Alici, C.; Shakeel, S.; Kalkavan, A.: Semantic Segmentation of Real and Synthetic Point Cloud Data for Digital Twinning of Bridges. Proceedings of 33. Forum Bauinformatik, 2022 mehr…
  • Mafipour, MS.; Vilgertshofer, S.; Borrmann, A.: Creating digital twins of existing bridges through AI-based methods. Proc. of the IABSE Symposium – Challenges for Existing and Oncoming Structures, 2022 mehr…
  • Pan, Y.; Mafipour, S.; Mehranfar, M.: Enriching Point Features to Improve Semantic Segmentation of Point Clouds. Proceedings of 33. Forum Bauinformatik, 2022 mehr…
  • Vilgertshofer, S.; Mafipour, M. S.; Borrmann, A.; Martens, J.; Blut, T.; Becker, R.; Blankenbach, J.; Glöbels, A.; Beetz, J.; Celik, F.; Faltin, B.; König, M.: TwinGen: Advanced technologies to automatically generate digital twins for operation and maintenance of existing bridges. Proc. of European Conference on Product and Process Modeling 2022, 2022 mehr…

2021

  • 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…
  • Mafipour, MS.; Vilgertshofer, S.; Borrmann, A.: Deriving Digital Twin Models of Existing Bridges from Point Cloud Data Using Parametric Models and Metaheuristic Algorithms. Proc. of the EG-ICE Conference 2021, 2021 mehr…

2023

  • Samu, I.: Automated Parametric Modeling of Bridge Components Using Point Clouds. , 2023 mehr…

2022

  • Ahmed, D.: Automatic Detection of Elements in the Technical Drawings of Bridges by Deep Learning and Parametric Modeling. , 2022 mehr…

2021

  • Samaras, D.: Automated Extraction of Semantic Information from Engineering Drawings using Deep Learning. , 2021 mehr…
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