A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS
Mobile laser scanning has not only the potential to create detailed representations of urban environments, but also to determine changes up to a very detailed level. An environment representation for change detection in large scale urban environments based on point clouds has drawbacks in terms of m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-05-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2/97/2018/isprs-annals-IV-2-97-2018.pdf |
| _version_ | 1818019437196869632 |
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| author | J. Gehrung J. Gehrung M. Hebel M. Arens U. Stilla |
| author_facet | J. Gehrung J. Gehrung M. Hebel M. Arens U. Stilla |
| author_sort | J. Gehrung |
| collection | DOAJ |
| description | Mobile laser scanning has not only the potential to create detailed representations of urban environments, but also to determine changes up to a very detailed level. An environment representation for change detection in large scale urban environments based on point clouds has drawbacks in terms of memory scalability. Volumes, however, are a promising building block for memory efficient change detection methods. The challenge of working with 3D occupancy grids is that the usual raycasting-based methods applied for their generation lead to artifacts caused by the traversal of unfavorable discretized space. These artifacts have the potential to distort the state of voxels in close proximity to planar structures. In this work we propose a raycasting approach that utilizes knowledge about planar surfaces to completely prevent this kind of artifacts. To demonstrate the capabilities of our approach, a method for the iterative volumetric approximation of point clouds that allows to speed up the raycasting by 36 percent is proposed. |
| first_indexed | 2024-04-14T07:52:12Z |
| format | Article |
| id | doaj.art-e1100c0d672d4d1baea3d78acf09e5cf |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-04-14T07:52:12Z |
| publishDate | 2018-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-e1100c0d672d4d1baea3d78acf09e5cf2022-12-22T02:05:10ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502018-05-01IV-29710410.5194/isprs-annals-IV-2-97-2018A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREASJ. Gehrung0J. Gehrung1M. Hebel2M. Arens3U. Stilla4Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76275 Ettlingen, GermanyPhotogrammetry and Remote Sensing, Technische Universitaet Muenchen, 80333 Muenchen, GermanyFraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76275 Ettlingen, GermanyFraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, 76275 Ettlingen, GermanyPhotogrammetry and Remote Sensing, Technische Universitaet Muenchen, 80333 Muenchen, GermanyMobile laser scanning has not only the potential to create detailed representations of urban environments, but also to determine changes up to a very detailed level. An environment representation for change detection in large scale urban environments based on point clouds has drawbacks in terms of memory scalability. Volumes, however, are a promising building block for memory efficient change detection methods. The challenge of working with 3D occupancy grids is that the usual raycasting-based methods applied for their generation lead to artifacts caused by the traversal of unfavorable discretized space. These artifacts have the potential to distort the state of voxels in close proximity to planar structures. In this work we propose a raycasting approach that utilizes knowledge about planar surfaces to completely prevent this kind of artifacts. To demonstrate the capabilities of our approach, a method for the iterative volumetric approximation of point clouds that allows to speed up the raycasting by 36 percent is proposed.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2/97/2018/isprs-annals-IV-2-97-2018.pdf |
| spellingShingle | J. Gehrung J. Gehrung M. Hebel M. Arens U. Stilla A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS |
| title_full | A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS |
| title_fullStr | A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS |
| title_full_unstemmed | A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS |
| title_short | A VOXEL-BASED METADATA STRUCTURE FOR CHANGE DETECTION IN POINT CLOUDS OF LARGE-SCALE URBAN AREAS |
| title_sort | voxel based metadata structure for change detection in point clouds of large scale urban areas |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2/97/2018/isprs-annals-IV-2-97-2018.pdf |
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