AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS
The necessity for the modelling of building interiors has encouraged researchers in recent years to focus on improving the capturing and modelling techniques for such environments. State-of-the-art indoor mobile mapping systems use a combination of laser scanners and/or cameras mounted on movable pl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-09-01
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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-1/85/2018/isprs-annals-IV-1-85-2018.pdf |
| _version_ | 1818421660786622464 |
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| author | S. Karam M. Peter S. Hosseinyalamdary G. Vosselman |
| author_facet | S. Karam M. Peter S. Hosseinyalamdary G. Vosselman |
| author_sort | S. Karam |
| collection | DOAJ |
| description | The necessity for the modelling of building interiors has encouraged researchers in recent years to focus on improving the capturing and modelling techniques for such environments. State-of-the-art indoor mobile mapping systems use a combination of laser scanners and/or cameras mounted on movable platforms and allow for capturing 3D data of buildings’ interiors. As GNSS positioning does not work inside buildings, the extensively investigated Simultaneous Localisation and Mapping (SLAM) algorithms seem to offer a suitable solution for the problem. Because of the dead-reckoning nature of SLAM approaches, their results usually suffer from registration errors. Therefore, indoor data acquisition has remained a challenge and the accuracy of the captured data has to be analysed and investigated. In this paper, we propose to use architectural constraints to partly evaluate the quality of the acquired point cloud in the absence of any ground truth model. The internal consistency of walls is utilized to check the accuracy and correctness of indoor models. In addition, we use a floor plan (if available) as an external information source to check the quality of the generated indoor model. The proposed evaluation method provides an overall impression of the reconstruction accuracy. Our results show that perpendicularity, parallelism, and thickness of walls are important cues in buildings and can be used for an internal consistency check. |
| first_indexed | 2024-12-14T13:13:54Z |
| format | Article |
| id | doaj.art-21af4d9fd0994bc38d2cadf1cfeb7a79 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-14T13:13:54Z |
| publishDate | 2018-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-21af4d9fd0994bc38d2cadf1cfeb7a792022-12-21T23:00:06ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502018-09-01IV-1859210.5194/isprs-annals-IV-1-85-2018AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDSS. Karam0M. Peter1S. Hosseinyalamdary2G. Vosselman3Dept. of Earth Observation Science, Faculty ITC, University of Twente, 7514 AE Enschede, The NetherlandsDept. of Earth Observation Science, Faculty ITC, University of Twente, 7514 AE Enschede, The NetherlandsDept. of Earth Observation Science, Faculty ITC, University of Twente, 7514 AE Enschede, The NetherlandsDept. of Earth Observation Science, Faculty ITC, University of Twente, 7514 AE Enschede, The NetherlandsThe necessity for the modelling of building interiors has encouraged researchers in recent years to focus on improving the capturing and modelling techniques for such environments. State-of-the-art indoor mobile mapping systems use a combination of laser scanners and/or cameras mounted on movable platforms and allow for capturing 3D data of buildings’ interiors. As GNSS positioning does not work inside buildings, the extensively investigated Simultaneous Localisation and Mapping (SLAM) algorithms seem to offer a suitable solution for the problem. Because of the dead-reckoning nature of SLAM approaches, their results usually suffer from registration errors. Therefore, indoor data acquisition has remained a challenge and the accuracy of the captured data has to be analysed and investigated. In this paper, we propose to use architectural constraints to partly evaluate the quality of the acquired point cloud in the absence of any ground truth model. The internal consistency of walls is utilized to check the accuracy and correctness of indoor models. In addition, we use a floor plan (if available) as an external information source to check the quality of the generated indoor model. The proposed evaluation method provides an overall impression of the reconstruction accuracy. Our results show that perpendicularity, parallelism, and thickness of walls are important cues in buildings and can be used for an internal consistency check.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/85/2018/isprs-annals-IV-1-85-2018.pdf |
| spellingShingle | S. Karam M. Peter S. Hosseinyalamdary G. Vosselman AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS |
| title_full | AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS |
| title_fullStr | AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS |
| title_full_unstemmed | AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS |
| title_short | AN EVALUATION PIPELINE FOR INDOOR LASER SCANNING POINT CLOUDS |
| title_sort | evaluation pipeline for indoor laser scanning point clouds |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/85/2018/isprs-annals-IV-1-85-2018.pdf |
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