| "BIM-to-Scan" for Scan-to-BIM: Generating Realistic Synthetic Ground Truth Point Clouds Based on Industrial 3D Models F Noichl, A Braun, A Borrmann European Conference on Computing in Construction, 2021 | 27 | 2021 |
| Enhancing point cloud semantic segmentation in the data‐scarce domain of industrial plants through synthetic data F Noichl, FC Collins, A Braun, A Borrmann Computer‐Aided Civil and Infrastructure Engineering 39 (10), 1530-1549, 2024 | 11 | 2024 |
| Automatic creation and enrichment of 3D models for pipe systems by co-registration of laser-scanned point clouds and photos Y Pan, F Noichl, A Braun, A Borrmann, I Brilakis Proceedings of the 2022 European Conference on Computing in Construction, 2022 | 6 | 2022 |
| Towards applicable Scan-to-BIM and Scan-to-Floorplan: an end-to-end experiment FC Collins, SM Mafipour, F Noichl, Y Pan, MA Vega 32. Forum Bauinformatik 2021, 98-105, 2021 | 5 | 2021 |
| Automated Deterministic Model-based Indoor Scan Planning F Noichl, A Borrmann European Conference on Product and Process Modeling, 2022 | 4 | 2022 |
| 360-Degree Tri-Modal Scanning: Engineering a Modular Multi-Sensor Platform for Semantic Enrichment of BIM Models FC Collins, F Noichl, M Slepicka, G Cones, A Borrmann ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2024 | 3 | 2024 |
| Retrofitting Potential of Building envelopes Based on Semantic Surface Models Derived From Point Clouds E Selimovic, F Noichl, K Forth, A Borrmann Journal of Facade Design and Engineering 10 (2), 127-140, 2022 | 3 | 2022 |
| Recognition of temporary vertical objects in large point clouds of construction sites MA Vega Torres, A Braun, F Noichl, A Borrmann, H Bauer, D Wohlfeld Proceedings of the Institution of Civil Engineers-Smart Infrastructure and …, 2022 | 3 | 2022 |
| Automating adaptive scan planning for static laser scanning in complex 3D environments F Noichl, DD Lichti, A Borrmann Automation in Construction 165, 105511, 2024 | 2 | 2024 |
| Efficient Vertical Object Detection in Large High-Quality Point Clouds of Construction Sites M Vega | 2 | 2020 |
| Towards Multicriterial Scan Planning in Complex 3D Environments F Noichl, A Borrmann International Conference on Computing in Civil and Building Engineering, 223-235, 2022 | 1 | 2022 |
| Building facade evaluation using instance segmentation on thermal images G Cones, F Collins, F Noichl 35. Forum Bauinformatik, fbi 2024, 74-81, 2024 | | 2024 |
| Bestandserfassung mithilfe von Computer Vision Methoden F Collins, F Noichl, Y Pan, A Carrara, MS Mafipour, K Forth, A Borrmann Künstliche Intelligenz im Bauwesen: Grundlagen und Anwendungsfälle, 309-326, 2024 | | 2024 |
| Assessing and Improving Automated Viewpoint Planning for Static Laser Scanning Using Optimization Methods F Noichl, M Stuecke, C Thielen, A Borrmann ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2024 | | 2024 |
| From Purpose to Technology: A Requirements-Driven Approach to Designing Digital Twin Implementations F Noichl, FC Collins, Y Pan, MS Mafipour, M Mehranfar, A Borrmann | | 2024 |
| Adaptive scan planning for 4D-BIM-based construction progress monitoring F Noichl, S Esser, J Schlenger Proc. of the 34th Forum Bauinformatik, 2023 | | 2023 |
| LCA Calculation of Retrofitting Scenarios Using Geometric Model Reconstruction and Semantic Enrichment of Point Clouds and Images K Forth, F Noichl, A Borrmann Computing in Civil Engineering 2023, 390-397, 2023 | | 2023 |
| From enriched point cloud to structural and MEP models: An automated approach to create semantic-geometric models for industrial facilities F Noichl, Y Pan, MS Mafipour, A Braun, I Brilakis, A Borrmann | | 2023 |
| Creating and Enriching Geometric Digital Twins for Pipe Systems: A Case Study Using Laser Scanning Point Clouds and Photos Y Pan, F Noichl, B Alexander, B Andre, I Brilakis | | 2022 |
| UAV path planning for photogrammetric capture of buildings towards disaster scenarios B Koleva, AK Dugstad, F Noichl Proceedings of 33. Forum Bauinformatik, 2022 | | 2022 |
Andre BorrmannTechnische Universtität MünchenVerified email at tum.de
