Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios
UAVs are becoming increasingly used in the field of structural health monitoring, and the position information of them during the tasks is crucial. However, in complex scenarios such as bridges and high-rise buildings, the GNSS positioning method cannot obtain the positions of the UAV all the time d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/7/3/212 |
| _version_ | 1797612365741555712 |
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| author | Jianguo Zhou Linshu He Haitao Luo |
| author_facet | Jianguo Zhou Linshu He Haitao Luo |
| author_sort | Jianguo Zhou |
| collection | DOAJ |
| description | UAVs are becoming increasingly used in the field of structural health monitoring, and the position information of them during the tasks is crucial. However, in complex scenarios such as bridges and high-rise buildings, the GNSS positioning method cannot obtain the positions of the UAV all the time due to the blockage of satellite signals and multi-path effects. This paper proposes a real-time positioning method to address the issue combining GNSS and total station. The GNSS is first used to locate the UAV when it is not in the line of sight of the total station, and the coordinates of the UAV are transmitted to the total station for blind tracking through coordinates conversion. The total station is then used to directly track the UAV when it flies to the GNSS-denied area and appears in the field view of the total station. Experiments show that the shift from blind tracking to direct tracking can be guaranteed as the coordinates conversion error is always less than the field of view range of the total station, even if only two common points are used for coordinates conversion. In addition, high positioning accuracy can be achieved in complex structural health monitoring scenarios. |
| first_indexed | 2024-03-11T06:40:16Z |
| format | Article |
| id | doaj.art-d67b2036415843c4850f445a58c8bee1 |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-11T06:40:16Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-d67b2036415843c4850f445a58c8bee12023-11-17T10:40:00ZengMDPI AGDrones2504-446X2023-03-017321210.3390/drones7030212Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring ScenariosJianguo Zhou0Linshu He1Haitao Luo2School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaSchool of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan 430068, ChinaGuangzhou Metro Design and Research Institute, Guangzhou 510010, ChinaUAVs are becoming increasingly used in the field of structural health monitoring, and the position information of them during the tasks is crucial. However, in complex scenarios such as bridges and high-rise buildings, the GNSS positioning method cannot obtain the positions of the UAV all the time due to the blockage of satellite signals and multi-path effects. This paper proposes a real-time positioning method to address the issue combining GNSS and total station. The GNSS is first used to locate the UAV when it is not in the line of sight of the total station, and the coordinates of the UAV are transmitted to the total station for blind tracking through coordinates conversion. The total station is then used to directly track the UAV when it flies to the GNSS-denied area and appears in the field view of the total station. Experiments show that the shift from blind tracking to direct tracking can be guaranteed as the coordinates conversion error is always less than the field of view range of the total station, even if only two common points are used for coordinates conversion. In addition, high positioning accuracy can be achieved in complex structural health monitoring scenarios.https://www.mdpi.com/2504-446X/7/3/212unmanned aerial vehiclepositioningglobal navigation satellite systemtotal stationstructural health monitoring |
| spellingShingle | Jianguo Zhou Linshu He Haitao Luo Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios Drones unmanned aerial vehicle positioning global navigation satellite system total station structural health monitoring |
| title | Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios |
| title_full | Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios |
| title_fullStr | Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios |
| title_full_unstemmed | Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios |
| title_short | Real-Time Positioning Method for UAVs in Complex Structural Health Monitoring Scenarios |
| title_sort | real time positioning method for uavs in complex structural health monitoring scenarios |
| topic | unmanned aerial vehicle positioning global navigation satellite system total station structural health monitoring |
| url | https://www.mdpi.com/2504-446X/7/3/212 |
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