Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud
Smartphones with Light Detection and Ranging (LiDAR) sensors are increasingly used for engineering measurements. Although the processing of the acquired point clouds seems similar to the processing of point clouds measured with, for example, a terrestrial laser scanner, processing data from a smartp...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-06-01
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| Series: | Reports on Geodesy and Geoinformatics |
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| Online Access: | https://doi.org/10.2478/rgg-2025-0003 |
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| author | Janicka Joanna Błaszczak-Bąk Wioleta |
| author_facet | Janicka Joanna Błaszczak-Bąk Wioleta |
| author_sort | Janicka Joanna |
| collection | DOAJ |
| description | Smartphones with Light Detection and Ranging (LiDAR) sensors are increasingly used for engineering measurements. Although the processing of the acquired point clouds seems similar to the processing of point clouds measured with, for example, a terrestrial laser scanner, processing data from a smartphone requires a special approach, first of all, when it comes to methods of obtaining and registering point clouds to obtain one complete metric point cloud. The research consisted of comparing various scenarios of measuring using a smartphone with a LiDAR sensor (a smartphone held in hand, a smartphone on a selfie stick, and a smartphone mounted on a gimbal), two acquisition strategies (one direction and zigzag) and two registration methods (point to point and cloud to cloud). The aim of the study was to find the best solution for registering the obtained point cloud with referenced terrestrial laser scanning (TLS) point cloud. It turns out that how we obtain field data using a smartphone with a LiDAR sensor is important and affects the accuracy of point cloud integration. The results showed that the use of additional devices such as a gimbal supports the data acquisition process and has an impact on the point cloud registration. In the analysed case, the RMSE registration error was the smallest and amounted to 0.012 m and 0.019 m, while the largest registration error was 0.060 m and 0.065 m, for object 1 and object 2, respectively. The result obtained using the proposed methodology can be considered satisfactory. |
| format | Article |
| id | doaj-art-1e5e7ffde1ac45b79054fe5f27a030ee |
| institution | Kabale University |
| issn | 2391-8152 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Reports on Geodesy and Geoinformatics |
| spelling | doaj-art-1e5e7ffde1ac45b79054fe5f27a030ee2025-02-10T13:26:10ZengSciendoReports on Geodesy and Geoinformatics2391-81522025-06-011191142210.2478/rgg-2025-0003Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloudJanicka Joanna0Błaszczak-Bąk Wioleta1Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 2, 10-719Olsztyn, PolandFaculty of Geoengineering, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 2, 10-719Olsztyn, PolandSmartphones with Light Detection and Ranging (LiDAR) sensors are increasingly used for engineering measurements. Although the processing of the acquired point clouds seems similar to the processing of point clouds measured with, for example, a terrestrial laser scanner, processing data from a smartphone requires a special approach, first of all, when it comes to methods of obtaining and registering point clouds to obtain one complete metric point cloud. The research consisted of comparing various scenarios of measuring using a smartphone with a LiDAR sensor (a smartphone held in hand, a smartphone on a selfie stick, and a smartphone mounted on a gimbal), two acquisition strategies (one direction and zigzag) and two registration methods (point to point and cloud to cloud). The aim of the study was to find the best solution for registering the obtained point cloud with referenced terrestrial laser scanning (TLS) point cloud. It turns out that how we obtain field data using a smartphone with a LiDAR sensor is important and affects the accuracy of point cloud integration. The results showed that the use of additional devices such as a gimbal supports the data acquisition process and has an impact on the point cloud registration. In the analysed case, the RMSE registration error was the smallest and amounted to 0.012 m and 0.019 m, while the largest registration error was 0.060 m and 0.065 m, for object 1 and object 2, respectively. The result obtained using the proposed methodology can be considered satisfactory.https://doi.org/10.2478/rgg-2025-0003lidarsmartphonetlsintegrationregistration |
| spellingShingle | Janicka Joanna Błaszczak-Bąk Wioleta Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud Reports on Geodesy and Geoinformatics lidar smartphone tls integration registration |
| title | Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud |
| title_full | Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud |
| title_fullStr | Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud |
| title_full_unstemmed | Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud |
| title_short | Various scenarios of measurements using a smartphone with a LiDAR sensor in the context of integration with the TLS point cloud |
| title_sort | various scenarios of measurements using a smartphone with a lidar sensor in the context of integration with the tls point cloud |
| topic | lidar smartphone tls integration registration |
| url | https://doi.org/10.2478/rgg-2025-0003 |
| work_keys_str_mv | AT janickajoanna variousscenariosofmeasurementsusingasmartphonewithalidarsensorinthecontextofintegrationwiththetlspointcloud AT błaszczakbakwioleta variousscenariosofmeasurementsusingasmartphonewithalidarsensorinthecontextofintegrationwiththetlspointcloud |