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…BibTeX
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Zeitschriftenartikel
Noichl, F.; Collins, F. C.; Braun, A.; Borrmann, A.: Enhancing point cloud semantic segmentation in the data-scarce domain of industrial plants through synthetic data. Computer-Aided Civil and Infrastructure Engineering 39 (10), 2024, 1530-1549 mehr…BibTeX
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2023
Konferenzbeiträge / Poster
Forth, K.; Noichl, F.; Borrmann, A.: LCA Calculation of Retrofitting Scenarios using Geometric Model Reconstruction and Semantic Enrichment of Point Clouds and Images. Proc. of the ASCE International Conference on Computing in Civil Engineering 2023, 2023 mehr…BibTeX
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Noichl, F.; Esser, S.; Schlenger, J.: Adaptive scan planning for 4D-BIM-based construction progress monitoring. Proc. of the 34th Forum Bauinformatik, 2023 mehr…BibTeX
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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…BibTeX
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2022
Zeitschriftenartikel
Selimovic, E.; Noichl, F.; Forth, K.; Borrmann, A.: Retrofitting Potential of Building envelopes Based on Semantic Surface Models Derived From Point Clouds. Journal of Facade Design and Engineering 10 (2), 2022, 127-139 mehr…BibTeX
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Konferenzbeiträge / Poster
Koleva, B.; Dugstad, A.; Noichl, F.: UAV path planning for photogrammetric capture of buildings towards disaster scenarios. Proceedings of 33. Forum Bauinformatik, 2022 mehr…BibTeX
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Noichl, F.; Borrmann, A.: Towards Multicriterial Scan Planning in Complex 3D Environments. Proc. of the Int. Conf. on Computing in Civil and Building Engineering (ICCCBE), 2022 mehr…BibTeX
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Noichl, F.; Borrmann, A.: Automated Deterministic Model-based Indoor Scan Planning. Proc. of European Conference on Product and Process Modeling 2022, 2022 mehr…BibTeX
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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…BibTeX
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Vega Torres, M.A.; Braun, A.; Noichl, F.; Borrmann, A.; Bauer, H.; Wohlfeld, D.: Recognition of temporary vertical objects in large point clouds of construction sites. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction 174 (4), 2021, 134-149 mehr…BibTeX
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Konferenzbeiträge / Poster
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…BibTeX
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Eickeler, F.; Noichl, F.: Pogo Sampling: How to best preserve information during manual point cloud labeling. Proc. of the 32th Forum Bauinformatik, 2021 mehr…BibTeX
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Noichl, F.; Braun, A.; Borrmann, A.: "BIM-to-Scan" for Scan-to-BIM: Generating Realistic Synthetic Ground Truth Point Clouds based on Industrial 3D Models. Proceedings of the 2021 European Conference on Computing in Construction, 2021 mehr…BibTeX
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Vega, M.; Braun, A.; Bauer, H.; Noichl, F.; Borrmann, A.: Efficient Vertical Object Detection in Large High-Quality Point Clouds of Construction Sites. Proc. of the 2021 European Conference on Computing in Construction, 2021 mehr…BibTeX
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