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Author

Gustaf Uggla

Observed names: G. Uggla, Uggla, Gustaf
Observed institution: KTH Royal Institute of Technology
ORCID: 0000-0001-9032-4305
Observed ORCID: 0000-0001-9032-4305
OpenAlex ID: A5083746345
Geographic capabilities and limitations of Industry Foundation Classes
2018 · Gustaf Uggla, Milan Horemuz · Automation in Construction · 43
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Towards synthesized training data for semantic segmentation of mobile laser scanning point clouds: Generating level crossings from real and synthetic point cloud samples
2021 · Gustaf Uggla, Milan Horemuz · Automation in Construction · 31
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Georeferencing Methods for IFC
2018 · Gustaf Uggla, Milan Horemuz · Baltic Geodetic Congress (BGC Geomatics) · 12
Identifying roadside objects in mobile laser scanning data using image-based point cloud segmentation
2020 · Gustaf Uggla, Milan Horemuz · Journal of Information Technology in Construction · 8
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Conceptualizing Georeferencing for Terrestrial Laser Scanning and Improving Point Cloud Metadata
2020 · Gustaf Uggla, Milan Horemuz · Journal of Surveying Engineering · 4
Description of geodata quality with focus on integration of BIM-data and geodata
2018 · Sun, Jing, Harrie, Lars, et al. · Lund University Publications (Lund University) · 4
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3D City Models - A Comparative Study of Methods and Datasets
2015 · Gustaf Uggla · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 2
Classification and object reconstruction in point clouds using semantic segmentation and transfer learning
2019 · Gustaf Uggla · 1
Connecting digital and physical representations through semantics and geometry
2019 · Gustaf Uggla · KTH Publication Database DiVA (KTH Royal Institute of Technology) · 1
Automatic extraction of roadside objects from mobile mapping data
2019 · Gustaf Uggla
TU Delft Survive: An App with a Map
2014 · W. Mengyu, Guillermo Sánchez Fernández, et al.
Geodatasamverkan : Geospatial infrastruktur i Sverige
2013 · Gustaf Uggla, Jacob Ekblad · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Works count: 16
Citation count: 107
H-index: 4
I10-index: 3
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