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Detection of hidden edges and corners in SLAM-based indoor point clouds

Schmidt, Jakob ; Volland, Vivien ; Iwaszczuk, Dorota ; Eichhorn, Andreas (2023)
Detection of hidden edges and corners in SLAM-based indoor point clouds.
12th International Symposium on Mobile Mapping Technology. Padua, Italy (24.05.2023-26.05.2023)
doi: 10.5194/isprs-archives-XLVIII-1-W1-2023-443-2023
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Mobile mapping systems are commonly used for surveying buildings. The acquisition of the buildings’ indoor spaces with laser scanning or photogrammetry generates data in the form of point clouds. These point clouds are often used to create a model of those buildings, but so far with a low degree of automation. To automate this process, it is important to extract geometric information about corners, edges, and planes from unorganized indoor point clouds. In an indoor scenario consisting of several rooms including furniture and other objects, a point cloud is expected to show occlusions. Therefore, the detection of hidden corners and edges is of importance. In this work one approach based on contour point clouds and one approach based on planes are examined for the detection of corners and edges. Both approaches use RANSAC to extract either straight lines or planes. Through their intersection, edges and corners are determined. To examine the influence of the data quality on the results, the approaches are applied to and evaluated on different datasets of the same area of a building, which are captured by various measurement methods, including mobile mapping systems and terrestrial laser scanning. Therefore, we are creating a ground truth for parts of the building to evaluate the completeness and correctness of the corner detection. The approach based on planes presents itself to be more reliable in noisy and incomplete point clouds. The approach based on contour point clouds indicates advantages in terms of the complexity of a building´s indoor geometry.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2023
Autor(en): Schmidt, Jakob ; Volland, Vivien ; Iwaszczuk, Dorota ; Eichhorn, Andreas
Art des Eintrags: Bibliographie
Titel: Detection of hidden edges and corners in SLAM-based indoor point clouds
Sprache: Englisch
Publikationsjahr: 2023
Ort: Katlenburg-Lindau
Verlag: Copernicus Publications
Titel der Zeitschrift, Zeitung oder Schriftenreihe: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Buchtitel: 12th International Symposium on Mobile Mapping Technology (MMT 2023)
Reihe: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Band einer Reihe: XLVIII-1/W1-2023
Veranstaltungstitel: 12th International Symposium on Mobile Mapping Technology
Veranstaltungsort: Padua, Italy
Veranstaltungsdatum: 24.05.2023-26.05.2023
DOI: 10.5194/isprs-archives-XLVIII-1-W1-2023-443-2023
URL / URN: https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-443-...
Kurzbeschreibung (Abstract):

Mobile mapping systems are commonly used for surveying buildings. The acquisition of the buildings’ indoor spaces with laser scanning or photogrammetry generates data in the form of point clouds. These point clouds are often used to create a model of those buildings, but so far with a low degree of automation. To automate this process, it is important to extract geometric information about corners, edges, and planes from unorganized indoor point clouds. In an indoor scenario consisting of several rooms including furniture and other objects, a point cloud is expected to show occlusions. Therefore, the detection of hidden corners and edges is of importance. In this work one approach based on contour point clouds and one approach based on planes are examined for the detection of corners and edges. Both approaches use RANSAC to extract either straight lines or planes. Through their intersection, edges and corners are determined. To examine the influence of the data quality on the results, the approaches are applied to and evaluated on different datasets of the same area of a building, which are captured by various measurement methods, including mobile mapping systems and terrestrial laser scanning. Therefore, we are creating a ground truth for parts of the building to evaluate the completeness and correctness of the corner detection. The approach based on planes presents itself to be more reliable in noisy and incomplete point clouds. The approach based on contour point clouds indicates advantages in terms of the complexity of a building´s indoor geometry.

Freie Schlagworte: scan2bim, building model, occlusion, indoor, point cloud, mobile mapping
Fachbereich(e)/-gebiet(e): 13 Fachbereich Bau- und Umweltingenieurwissenschaften
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie > Fernerkundung und Bildanalyse
13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie > Geodetic Measuring Systems and Sensor Technology
Hinterlegungsdatum: 22 Jun 2023 12:42
Letzte Änderung: 26 Jun 2023 09:47
PPN: 509053599
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