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Florian Noichl
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"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
192021
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
42021
Automated Deterministic Model-based Indoor Scan Planning
F Noichl, A Borrmann
European Conference on Product and Process Modeling, 2022
32022
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
22022
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
22022
Towards Multicriterial Scan Planning in Complex 3D Environments
F Noichl, A Borrmann
International Conference on Computing in Civil and Building Engineering, 223-235, 2022
12022
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
12022
Efficient Vertical Object Detection in Large High-Quality Point Clouds of Construction Sites
M Vega
12020
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, 2024
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
Pogo Sampling: How to best preserve information during manual point cloud labeling
F Eickeler, F Noichl
Proc. of the 32th Forum Bauinformatik, 2021
2021
Automating Adaptive Scan Planning for Static Laser Scanning in Complex 3d Environments
F Noichl, DD Lichti, A Borrmann
Available at SSRN 4684037, 2011
2011
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