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Alexander Braun
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Combining inverse photogrammetry and BIM for automated labeling of construction site images for machine learning
A Braun, A Borrmann
Automation in Construction 106, 102879, 2019
1742019
Improving progress monitoring by fusing point clouds, semantic data and computer vision
A Braun, S Tuttas, A Borrmann, U Stilla
Automation in Construction 116, 103210, 2020
1512020
A concept for automated construction progress monitoring using BIM-based geometric constraints and photogrammetric point clouds
A Braun, S Tuttas, A Borrmann, U Stilla
Journal of Information Technology in Construction, 68-79, 2015
1462015
Acquisition and Consecutive Registration of Photogrammetric Point Clouds for Construction Progress Monitoring Using a 4D BIM
S Tuttas, A Braun, A Borrmann, U Stilla
PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 1-13, 2017
1142017
Automated progress monitoring based on photogrammetric point clouds and precedence relationship graphs
A Braun, S Tuttas, A Borrmann, U Stilla
The 32nd International Symposium on Automation and Robotics in Construction …, 2015
682015
Comparison of photogrammetric point clouds with BIM building elements for construction progress monitoring
S Tuttas, A Braun, A Borrmann, U Stilla
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014
672014
Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition
Y Pan, A Braun, I Brilakis, A Borrmann
Automation in Construction 140, 104375, 2022
612022
Validation of BIM components by photogrammetric point clouds for construction site monitoring
S Tuttas, A Braun, A Borrmann, U Stilla
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015
512015
Evaluation of acquisition strategies for image-based construction site monitoring
S Tuttas, A Braun, A Borrmann, U Stilla
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
412016
BIM-integrated LCA-model analysis and implementation for practice
K Forth, A Braun, A Borrmann
IOP Conference Series: Earth and Environmental Science 323 (1), 012100, 2019
342019
Assessing IFC classes with means of geometric deep learning on different graph encodings
F Collins, A Braun, M Ringsquandl, D Hall, A Borrmann
Proc. of the 2021 European Conference on Computing in Construction, 2021
322021
" 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
Proceedings of the 2021 European Conference on Computing in Construction, 2021
242021
Process-and computer vision-based detection of as-built components on construction sites
A Braun, S Tuttas, U Stilla, A Borrmann
Proc. of the 35nd ISARC 2018, 2018
222018
Towards automated construction progress monitoring using BIM-based point cloud processing
A Braun, S Tuttas, U Stilla, A Borrmann
eWork Ebus. Archit. Eng. Constr. ECPPM 2014, 2014
212014
Bim-based progress monitoring
A Braun, S Tuttas, U Stilla, A Borrmann
Building Information Modeling: Technology Foundations and Industry Practice …, 2018
182018
Void-growing: A novel Scan-to-BIM method for manhattan world buildings from point cloud
Y Pan, A Braun, A Borrmann
Proceedings of the 2021 European Conference on Computing in Construction, 2021
17*2021
Building Information Modeling-Technology Foundations and Industry Practice
A Braun, S Tuttas, U Stilla, A Borrmann
Building Information Modeling–Technology Foundations and Industry Practice, 2018
162018
3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings
Y Pan, A Braun, A Borrmann, I Brilakis
Proceedings of the Institution of Civil Engineers-Smart Infrastructure and …, 2022
132022
Incorporating knowledge on construction methods into automated progress monitoring techniques
A Braun, S Tuttas, U Stilla, A Borrmann
122016
From data to knowledge: Construction process analysis through continuous image capturing, object detection, and knowledge graph creation
F Pfitzner, A Braun, A Borrmann
Automation in Construction 164, 105451, 2024
102024
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