Paper
23 January 2024 A method for obtaining fixed-point positions by precision landing of unmanned aerial vehicles
Mingshun Liao, Guang Yang, Chun Liu
Author Affiliations +
Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129780P (2024) https://doi.org/10.1117/12.3019445
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China
Abstract
The accurate acquisition of high-precision fixed-point positioning information in complex terrain scenarios such as mountain slopes is of paramount importance in the field of surveying and geographic information, particularly for landslide detection and terrain monitoring. The existing methods are plagued such as high cost of data acquisition and complex data processing. To address this problem, this study proposes an approach that leverages a UAV (unmanned aerial vehicles) landing platform to facilitate the precision landing of a UAV at observation points, with the ultimate goal of obtaining high-precision positioning information at that points. The proposed method offers significant advantages such as low-cost, simplified, and robust. We developed a low-cost RTK (real-time kinematic) positioning module that can be easily mounted on a UAV platform, and designed a landing platform to assist in the precision landing of the UAV. The positioning information was obtained using the carrier phase differential algorithm. The results demonstrate that the proposed method can achieve planar positioning accuracy at the centimeter level. The proposed approach offers a simpler data processing method, and holds significant potential for a wide range of applications in the field of surveying and geographic information.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mingshun Liao, Guang Yang, and Chun Liu "A method for obtaining fixed-point positions by precision landing of unmanned aerial vehicles", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129780P (23 January 2024); https://doi.org/10.1117/12.3019445
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