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A.M.E. Bry
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2 records found
1
From Points to Prints
Generating Building Roofprints and Footprints from Airborne Lidar Data and Inaccurate Outlines
In recent years, several methods have been successfully developed to create 3D building models in LoD2.2 from ALS point clouds. These methods however rely on 2D horizontal uilding outlines whose definitions and quality vary significantly. There are mainly two types of outlines: roofprints and footprints, and having access to both of them allows to reconstruct the façades and the roof independently, therefore improving from LoD2.2 to LoD2.3 models. Moreover, this distinction also allows more precise analyses depending on the use case. Therefore, we present a method to construct both a roofprint and a footprint from ALS data and existing inaccurate outlines. By first precisely deforming and aligning the outline on the roof to turn it into the roofprint, our method can then accurately identify the few ground and façade points available, if there are any, in order to produce a footprint coherent with the roofprint. Our method preserves the validity of the polygons and the topological relations between them. It has been tested successfully on the French national datasets BD TOPO and LiDAR HD.
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In recent years, several methods have been successfully developed to create 3D building models in LoD2.2 from ALS point clouds. These methods however rely on 2D horizontal uilding outlines whose definitions and quality vary significantly. There are mainly two types of outlines: roofprints and footprints, and having access to both of them allows to reconstruct the façades and the roof independently, therefore improving from LoD2.2 to LoD2.3 models. Moreover, this distinction also allows more precise analyses depending on the use case. Therefore, we present a method to construct both a roofprint and a footprint from ALS data and existing inaccurate outlines. By first precisely deforming and aligning the outline on the roof to turn it into the roofprint, our method can then accurately identify the few ground and façade points available, if there are any, in order to produce a footprint coherent with the roofprint. Our method preserves the validity of the polygons and the topological relations between them. It has been tested successfully on the French national datasets BD TOPO and LiDAR HD.
Student report
(2025)
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Alexandre Bry, Daan Schlosser, Lars van Blokland, Mingjie Teo, Phuong Anh Ho, Bastiaan van Loenen, Gina Stavropoulou
A campus map serves as the gateway to information about infrastructure, facilities and services a university provides. We critique existing campus maps of TU Delft from an inclusive perspective, and propose a new 3d inclusive campus map targeted at staff and students. The map integrates both 2D and 3D spatial representations, consolidates outdoor and indoor information, and offers interactive map functionalities prioritising the needs of the underrepresented communities of the university. In fulfilment of the GEOIT1501 Synthesis Project course and our client the Diversity and Inclusion Office, our map serves as the foundation upon which future projects may build upon to continually provide a comfortable and socially safe campus grounds for all staff and students.
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A campus map serves as the gateway to information about infrastructure, facilities and services a university provides. We critique existing campus maps of TU Delft from an inclusive perspective, and propose a new 3d inclusive campus map targeted at staff and students. The map integrates both 2D and 3D spatial representations, consolidates outdoor and indoor information, and offers interactive map functionalities prioritising the needs of the underrepresented communities of the university. In fulfilment of the GEOIT1501 Synthesis Project course and our client the Diversity and Inclusion Office, our map serves as the foundation upon which future projects may build upon to continually provide a comfortable and socially safe campus grounds for all staff and students.