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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