A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement
The indoor geometric dimensions of a building are crucial for acceptance criteria. Traditional manual methods for measuring indoor geometric quality are labor-intensive, time-consuming, error-prone, and yield non-reproducible results. With the advancement of ground-based laser scanning technology, t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/1/59 |
| _version_ | 1797358272845447168 |
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| author | Yi Tan Xin Liu Shuaishuai Jin Qian Wang Daochu Wang Xiaofeng Xie |
| author_facet | Yi Tan Xin Liu Shuaishuai Jin Qian Wang Daochu Wang Xiaofeng Xie |
| author_sort | Yi Tan |
| collection | DOAJ |
| description | The indoor geometric dimensions of a building are crucial for acceptance criteria. Traditional manual methods for measuring indoor geometric quality are labor-intensive, time-consuming, error-prone, and yield non-reproducible results. With the advancement of ground-based laser scanning technology, the efficient and precise measurement of geometric dimensions has become achievable. An indoor geometric quality measurement method based on ground-based laser scanning is presented in this paper. Initially, a coordinate transformation algorithm based on selected points was developed for conducting coordinate conversion. Subsequently, the Cube Diagonal-based Denoising algorithm, developed for point cloud denoising, was employed. Following that, architectural components such as walls, ceilings, floors, and openings were identified and extracted based on their spatial relationships. The measurement and visualization of the geometric quality of walls’ flatness, verticality, and opening dimensions were automated using fitting and simulation methods. Lastly, tests and validation were conducted to assess the accuracy and applicability of the proposed method. The experimental results demonstrate that time and human resources can be significantly saved using this method. The accuracy of this method in assessing wall flatness, verticality, and opening dimensions is 77.8%, 88.9%, and 95.9%, respectively. These results indicate that indoor geometric quality can be detected more accurately and efficiently compared to traditional inspection methods using the proposed method. |
| first_indexed | 2024-03-08T14:58:32Z |
| format | Article |
| id | doaj.art-93bad25ca83c42e78eb56a9deaaa7522 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T14:58:32Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-93bad25ca83c42e78eb56a9deaaa75222024-01-10T15:07:15ZengMDPI AGRemote Sensing2072-42922023-12-011615910.3390/rs16010059A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality MeasurementYi Tan0Xin Liu1Shuaishuai Jin2Qian Wang3Daochu Wang4Xiaofeng Xie5Key Laboratory for Resilient Infrastructures of Coastal Cities, Ministry of Education, Shenzhen University, Shenzhen 518060, ChinaSino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, ChinaSino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, ChinaDepartment of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, ChinaGuangzhou Construction Engineering Co., Ltd., Guangzhou 510030, ChinaGuangzhou Construction Engineering Co., Ltd., Guangzhou 510030, ChinaThe indoor geometric dimensions of a building are crucial for acceptance criteria. Traditional manual methods for measuring indoor geometric quality are labor-intensive, time-consuming, error-prone, and yield non-reproducible results. With the advancement of ground-based laser scanning technology, the efficient and precise measurement of geometric dimensions has become achievable. An indoor geometric quality measurement method based on ground-based laser scanning is presented in this paper. Initially, a coordinate transformation algorithm based on selected points was developed for conducting coordinate conversion. Subsequently, the Cube Diagonal-based Denoising algorithm, developed for point cloud denoising, was employed. Following that, architectural components such as walls, ceilings, floors, and openings were identified and extracted based on their spatial relationships. The measurement and visualization of the geometric quality of walls’ flatness, verticality, and opening dimensions were automated using fitting and simulation methods. Lastly, tests and validation were conducted to assess the accuracy and applicability of the proposed method. The experimental results demonstrate that time and human resources can be significantly saved using this method. The accuracy of this method in assessing wall flatness, verticality, and opening dimensions is 77.8%, 88.9%, and 95.9%, respectively. These results indicate that indoor geometric quality can be detected more accurately and efficiently compared to traditional inspection methods using the proposed method.https://www.mdpi.com/2072-4292/16/1/59terrestrial laser scanningpoint cloudindoor geometric quality detection |
| spellingShingle | Yi Tan Xin Liu Shuaishuai Jin Qian Wang Daochu Wang Xiaofeng Xie A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement Remote Sensing terrestrial laser scanning point cloud indoor geometric quality detection |
| title | A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement |
| title_full | A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement |
| title_fullStr | A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement |
| title_full_unstemmed | A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement |
| title_short | A Terrestrial Laser Scanning-Based Method for Indoor Geometric Quality Measurement |
| title_sort | terrestrial laser scanning based method for indoor geometric quality measurement |
| topic | terrestrial laser scanning point cloud indoor geometric quality detection |
| url | https://www.mdpi.com/2072-4292/16/1/59 |
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