Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data
This manuscript focuses on a quality assessment of DJI’s new sensors: the Zenmuse L1 and P1, which are LiDAR and photographic payload sensors, respectively, for UAVs/UASs. In particular, metric and statistical analyses aim to evaluate the data obtained from different 3D survey instruments. Furthermo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Geomatics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-7418/2/3/15 |
| _version_ | 1797487907082076160 |
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| author | Filippo Diara Marco Roggero |
| author_facet | Filippo Diara Marco Roggero |
| author_sort | Filippo Diara |
| collection | DOAJ |
| description | This manuscript focuses on a quality assessment of DJI’s new sensors: the Zenmuse L1 and P1, which are LiDAR and photographic payload sensors, respectively, for UAVs/UASs. In particular, metric and statistical analyses aim to evaluate the data obtained from different 3D survey instruments. Furthermore, we compared these sensors with TLS data derived from a Trimble SX10 scanning station. The integration of LiDAR and photogrammetric data was then performed and tested inside a complex architectural context, the medieval Frinco Castle (AT-Italy). Point clouds obtained from aerial and terrestrial instruments were analysed and compared using specific tools to calculate variance/distance between points and cloud alignment (via the ICP algorithm), as well as to perform qualitative estimations (especially roughness analysis). The medieval castle proved crucial for the purpose of analysing different metric data of an extremely complex architecture and achieving more accurate results. The collected dataset and performed analyses are now essential information for the consolidation and restoration programme. |
| first_indexed | 2024-03-09T23:55:27Z |
| format | Article |
| id | doaj.art-63543bc813a44051af39ff1ff76610cd |
| institution | Directory Open Access Journal |
| issn | 2673-7418 |
| language | English |
| last_indexed | 2024-03-09T23:55:27Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geomatics |
| spelling | doaj.art-63543bc813a44051af39ff1ff76610cd2023-11-23T16:26:29ZengMDPI AGGeomatics2673-74182022-07-012325428110.3390/geomatics2030015Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 DataFilippo Diara0Marco Roggero1Department of Architecture and Design (DAD), Politecnico di Torino, Viale P.A. Mattioli 39, 10125 Torino, ItalyDepartment of Architecture and Design (DAD), Politecnico di Torino, Viale P.A. Mattioli 39, 10125 Torino, ItalyThis manuscript focuses on a quality assessment of DJI’s new sensors: the Zenmuse L1 and P1, which are LiDAR and photographic payload sensors, respectively, for UAVs/UASs. In particular, metric and statistical analyses aim to evaluate the data obtained from different 3D survey instruments. Furthermore, we compared these sensors with TLS data derived from a Trimble SX10 scanning station. The integration of LiDAR and photogrammetric data was then performed and tested inside a complex architectural context, the medieval Frinco Castle (AT-Italy). Point clouds obtained from aerial and terrestrial instruments were analysed and compared using specific tools to calculate variance/distance between points and cloud alignment (via the ICP algorithm), as well as to perform qualitative estimations (especially roughness analysis). The medieval castle proved crucial for the purpose of analysing different metric data of an extremely complex architecture and achieving more accurate results. The collected dataset and performed analyses are now essential information for the consolidation and restoration programme.https://www.mdpi.com/2673-7418/2/3/15LiDARphotogrammetrypoint cloudsSfMTLSUAS |
| spellingShingle | Filippo Diara Marco Roggero Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data Geomatics LiDAR photogrammetry point clouds SfM TLS UAS |
| title | Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data |
| title_full | Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data |
| title_fullStr | Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data |
| title_full_unstemmed | Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data |
| title_short | Quality Assessment of DJI Zenmuse L1 and P1 LiDAR and Photogrammetric Systems: Metric and Statistics Analysis with the Integration of Trimble SX10 Data |
| title_sort | quality assessment of dji zenmuse l1 and p1 lidar and photogrammetric systems metric and statistics analysis with the integration of trimble sx10 data |
| topic | LiDAR photogrammetry point clouds SfM TLS UAS |
| url | https://www.mdpi.com/2673-7418/2/3/15 |
| work_keys_str_mv | AT filippodiara qualityassessmentofdjizenmusel1andp1lidarandphotogrammetricsystemsmetricandstatisticsanalysiswiththeintegrationoftrimblesx10data AT marcoroggero qualityassessmentofdjizenmusel1andp1lidarandphotogrammetricsystemsmetricandstatisticsanalysiswiththeintegrationoftrimblesx10data |