A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN
Research on handheld LiDAR data has recently been proliferated due to the emergence of digital twins and indoor mapping. However, most of the existing studies cannot be reproduced in another computational environment. Computational reproducibility requires data, code/software, and computational envi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-03-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/37/2024/isprs-archives-XLVIII-4-W9-2024-37-2024.pdf |
| _version_ | 1797268077890502656 |
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| author | B. Anbaroğlu H. B. Karabay |
| author_facet | B. Anbaroğlu H. B. Karabay |
| author_sort | B. Anbaroğlu |
| collection | DOAJ |
| description | Research on handheld LiDAR data has recently been proliferated due to the emergence of digital twins and indoor mapping. However, most of the existing studies cannot be reproduced in another computational environment. Computational reproducibility requires data, code/software, and computational environment (e.g. versions, settings, etc.) to be openly available. Although there are an increasing number of researches that contribute towards open data, there are still few studies investigating the remaining two aspects. One of the common tasks in digital twin research is the estimation of indoor space areas. This paper contributes to the computational reproducibility of estimating the area of indoor spaces on a handheld LiDAR dataset using the DBSCAN algorithm. The collected dataset -representing the Geomatics Engineering Department of Hacettepe University, code, and the computational environment was made openly available to satisfy the requirements of computational reproducibility. Three different experiments have been carried out: i) identification of the optimal DBSCAN parameter values for a single indoor space, ii) evaluating to what extent these values are applicable to other rooms, and iii) investigating the effect of room enter/exit times on the estimated room sizes. The main finding of this paper is that the simple consideration of an <em>open-door</em>, which reduces data collection time, the uncertainty of a wall’s coordinates, and imperfect choice of DBSCAN parameters, may substantially increase the estimated indoor space size ranging between approximately 40% to 300%. Consequently, relying solely on the DBSCAN algorithm for indoor space area estimation should not be considered as a valid approach. |
| first_indexed | 2024-04-25T01:26:45Z |
| format | Article |
| id | doaj.art-5711f2c3dfd84c7c9181477762e9a845 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-25T01:26:45Z |
| publishDate | 2024-03-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-5711f2c3dfd84c7c9181477762e9a8452024-03-08T18:40:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-03-01XLVIII-4-W9-2024374310.5194/isprs-archives-XLVIII-4-W9-2024-37-2024A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCANB. Anbaroğlu0H. B. Karabay1Geomatics Engineering Department, Hacettepe University, Ankara, TürkiyeGeomatics Engineering Department, Hacettepe University, Ankara, TürkiyeResearch on handheld LiDAR data has recently been proliferated due to the emergence of digital twins and indoor mapping. However, most of the existing studies cannot be reproduced in another computational environment. Computational reproducibility requires data, code/software, and computational environment (e.g. versions, settings, etc.) to be openly available. Although there are an increasing number of researches that contribute towards open data, there are still few studies investigating the remaining two aspects. One of the common tasks in digital twin research is the estimation of indoor space areas. This paper contributes to the computational reproducibility of estimating the area of indoor spaces on a handheld LiDAR dataset using the DBSCAN algorithm. The collected dataset -representing the Geomatics Engineering Department of Hacettepe University, code, and the computational environment was made openly available to satisfy the requirements of computational reproducibility. Three different experiments have been carried out: i) identification of the optimal DBSCAN parameter values for a single indoor space, ii) evaluating to what extent these values are applicable to other rooms, and iii) investigating the effect of room enter/exit times on the estimated room sizes. The main finding of this paper is that the simple consideration of an <em>open-door</em>, which reduces data collection time, the uncertainty of a wall’s coordinates, and imperfect choice of DBSCAN parameters, may substantially increase the estimated indoor space size ranging between approximately 40% to 300%. Consequently, relying solely on the DBSCAN algorithm for indoor space area estimation should not be considered as a valid approach.https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/37/2024/isprs-archives-XLVIII-4-W9-2024-37-2024.pdf |
| spellingShingle | B. Anbaroğlu H. B. Karabay A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN |
| title_full | A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN |
| title_fullStr | A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN |
| title_full_unstemmed | A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN |
| title_short | A REPRODUCIBLE APPROACH TO ESTIMATE INDOOR SPACE AREA ON A HANDHELD LIDAR DATASET USING DBSCAN |
| title_sort | reproducible approach to estimate indoor space area on a handheld lidar dataset using dbscan |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-4-W9-2024/37/2024/isprs-archives-XLVIII-4-W9-2024-37-2024.pdf |
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