Automatic wall slant angle map generation using 3D point clouds
Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban rege...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Electronics and Telecommunications Research Institute (ETRI)
2021-09-01
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| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2021-0053 |
| _version_ | 1818619945179676672 |
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| author | Jeongyun Kim Seungsang Yun Minwoo Jung Ayoung Kim Younggun Cho |
| author_facet | Jeongyun Kim Seungsang Yun Minwoo Jung Ayoung Kim Younggun Cho |
| author_sort | Jeongyun Kim |
| collection | DOAJ |
| description | Recently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time‐consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR‐inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements. |
| first_indexed | 2024-12-16T17:45:33Z |
| format | Article |
| id | doaj.art-a56c8364fa8941d59a3948c6868006ee |
| institution | Directory Open Access Journal |
| issn | 1225-6463 |
| language | English |
| last_indexed | 2024-12-16T17:45:33Z |
| publishDate | 2021-09-01 |
| publisher | Electronics and Telecommunications Research Institute (ETRI) |
| record_format | Article |
| series | ETRI Journal |
| spelling | doaj.art-a56c8364fa8941d59a3948c6868006ee2022-12-21T22:22:29ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632021-09-0143459460210.4218/etrij.2021-005310.4218/etrij.2021-0053Automatic wall slant angle map generation using 3D point cloudsJeongyun KimSeungsang YunMinwoo JungAyoung KimYounggun ChoRecently, quantitative and repetitive inspections of the old urban area were conducted because many structures exceed their designed lifetime. The health of a building can be validated from the condition of the outer wall, while the slant angle of the wall widely serves as an indicator of urban regeneration projects. Mostly, the inspector directly measures the inclination of the wall or partially uses 3D point measurements using a static light detection and ranging (LiDAR). These approaches are costly, time‐consuming, and only limited space can be measured. Therefore, we propose a mobile mapping system and automatic slant map generation algorithm, configured to capture urban environments online. Additionally, we use the LiDAR‐inertial mapping algorithm to construct raw point clouds with gravity information. The proposed method extracts walls from raw point clouds and measures the slant angle of walls accurately. The generated slant angle map is evaluated in indoor and outdoor environments, and the accuracy is compared with real tiltmeter measurements.https://doi.org/10.4218/etrij.2021-0053inertial measurement unitlidarmappingsimultaneous localization and mappingstructural health monitoring |
| spellingShingle | Jeongyun Kim Seungsang Yun Minwoo Jung Ayoung Kim Younggun Cho Automatic wall slant angle map generation using 3D point clouds ETRI Journal inertial measurement unit lidar mapping simultaneous localization and mapping structural health monitoring |
| title | Automatic wall slant angle map generation using 3D point clouds |
| title_full | Automatic wall slant angle map generation using 3D point clouds |
| title_fullStr | Automatic wall slant angle map generation using 3D point clouds |
| title_full_unstemmed | Automatic wall slant angle map generation using 3D point clouds |
| title_short | Automatic wall slant angle map generation using 3D point clouds |
| title_sort | automatic wall slant angle map generation using 3d point clouds |
| topic | inertial measurement unit lidar mapping simultaneous localization and mapping structural health monitoring |
| url | https://doi.org/10.4218/etrij.2021-0053 |
| work_keys_str_mv | AT jeongyunkim automaticwallslantanglemapgenerationusing3dpointclouds AT seungsangyun automaticwallslantanglemapgenerationusing3dpointclouds AT minwoojung automaticwallslantanglemapgenerationusing3dpointclouds AT ayoungkim automaticwallslantanglemapgenerationusing3dpointclouds AT youngguncho automaticwallslantanglemapgenerationusing3dpointclouds |