Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo
In this work, we propose a geolocation framework for distant ground targets integrating laser rangefinder sensors with multimodal visual servo control. By simulating binocular visual servo measurements through monocular visual servo tracking at fixed time intervals, our approach requires only single...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/14/2426 |
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| author | Xuyang Zhou Ruofei He Wei Jia Hongjuan Liu Yuanchao Ma Wei Sun |
| author_facet | Xuyang Zhou Ruofei He Wei Jia Hongjuan Liu Yuanchao Ma Wei Sun |
| author_sort | Xuyang Zhou |
| collection | DOAJ |
| description | In this work, we propose a geolocation framework for distant ground targets integrating laser rangefinder sensors with multimodal visual servo control. By simulating binocular visual servo measurements through monocular visual servo tracking at fixed time intervals, our approach requires only single-session sensor attitude correction calibration to accurately geolocalize multiple targets during a single flight, which significantly enhances operational efficiency in multi-target geolocation scenarios. We design a step-convergent target geolocation optimization algorithm. By adjusting the step size and the scale factor of the cost function, we achieve fast accuracy convergence for different UAV reconnaissance modes, while maintaining the geolocation accuracy without divergence even when the laser ranging sensor is turned off for a short period. The experimental results show that through the UAV’s continuous reconnaissance measurements, the geolocalization error of remote ground targets based on our algorithm is less than 7 m for 3000 m, and less than 3.5 m for 1500 m. We have realized the fast and high-precision geolocalization of remote targets on the ground under the high-altitude reconnaissance of UAVs. |
| format | Article |
| id | doaj-art-59e0e50f97d4402db09a03545f7e3963 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-59e0e50f97d4402db09a03545f7e39632025-08-20T03:32:15ZengMDPI AGRemote Sensing2072-42922025-07-011714242610.3390/rs17142426Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual ServoXuyang Zhou0Ruofei He1Wei Jia2Hongjuan Liu3Yuanchao Ma4Wei Sun5School of Aerospace Science and Technology, Xidian University, Xi’an 710071, China365th Research Institute, Northwestern Polytechnical University, Xi’an 710072, China365th Research Institute, Northwestern Polytechnical University, Xi’an 710072, ChinaXi’an ASN Technology Group Co., Ltd., Xi’an 710065, ChinaXi’an ASN Technology Group Co., Ltd., Xi’an 710065, ChinaSchool of Aerospace Science and Technology, Xidian University, Xi’an 710071, ChinaIn this work, we propose a geolocation framework for distant ground targets integrating laser rangefinder sensors with multimodal visual servo control. By simulating binocular visual servo measurements through monocular visual servo tracking at fixed time intervals, our approach requires only single-session sensor attitude correction calibration to accurately geolocalize multiple targets during a single flight, which significantly enhances operational efficiency in multi-target geolocation scenarios. We design a step-convergent target geolocation optimization algorithm. By adjusting the step size and the scale factor of the cost function, we achieve fast accuracy convergence for different UAV reconnaissance modes, while maintaining the geolocation accuracy without divergence even when the laser ranging sensor is turned off for a short period. The experimental results show that through the UAV’s continuous reconnaissance measurements, the geolocalization error of remote ground targets based on our algorithm is less than 7 m for 3000 m, and less than 3.5 m for 1500 m. We have realized the fast and high-precision geolocalization of remote targets on the ground under the high-altitude reconnaissance of UAVs.https://www.mdpi.com/2072-4292/17/14/2426global geolocationimage-based visual servomultimodal visionunmanned aerial vehicle (UAV) remote sensing |
| spellingShingle | Xuyang Zhou Ruofei He Wei Jia Hongjuan Liu Yuanchao Ma Wei Sun Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo Remote Sensing global geolocation image-based visual servo multimodal vision unmanned aerial vehicle (UAV) remote sensing |
| title | Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo |
| title_full | Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo |
| title_fullStr | Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo |
| title_full_unstemmed | Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo |
| title_short | Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo |
| title_sort | remote target high precision global geolocalization of uav based on multimodal visual servo |
| topic | global geolocation image-based visual servo multimodal vision unmanned aerial vehicle (UAV) remote sensing |
| url | https://www.mdpi.com/2072-4292/17/14/2426 |
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