Sampling System of Salt Lake UAV Based on Coverage Path Planning

Abstract The aim is to address the problems of complex terrain and high sampling frequency of Salt Lake, such as high intensity, significant error, low efficiency, and high risk of traditional manual sampling. In this paper, a salt lake UAV sampling system is designed to cover path planning based on the advantages of UAV mobility, high security, and manpower saving. The system first covers the salt lake with a circular area. It automatically plans the sampling points based on the sampling radius information set by a Salt Lake user, then uses an intelligent algorithm for path planning, and finally obtains the lowest energy loss through different speed planning strategies to complete the whole Salt Lake sampling. The experimental simulation results show that the system realizes low-power Automatic full coverage Salt Lake sampling under different algorithms and different speed planning strategies, improves the sampling efficiency, reduces the sampling cost, and is expected to contribute to the development of the Salt Lake industry.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3024/1/012042
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

Sampling System of Salt Lake UAV Based on Coverage Path Planning

X. H. Hilda Huang, Li Song, Yan Zhang, Gong Lu
Journal of Physics Conference Series
Robotic Path Planning Algorithms
article

Sampling System of Salt Lake UAV Based on Coverage Path Planning

X. H. Hilda Huang, Li Song, Yan Zhang, Gong Lu
article en

Abstract

Abstract The aim is to address the problems of complex terrain and high sampling frequency of Salt Lake, such as high intensity, significant error, low efficiency, and high risk of traditional manual sampling. In this paper, a salt lake UAV sampling system is designed to cover path planning based on the advantages of UAV mobility, high security, and manpower saving. The system first covers the salt lake with a circular area. It automatically plans the sampling points based on the sampling radius information set by a Salt Lake user, then uses an intelligent algorithm for path planning, and finally obtains the lowest energy loss through different speed planning strategies to complete the whole Salt Lake sampling. The experimental simulation results show that the system realizes low-power Automatic full coverage Salt Lake sampling under different algorithms and different speed planning strategies, improves the sampling efficiency, reduces the sampling cost, and is expected to contribute to the development of the Salt Lake industry.

Journal of Physics Conference SeriesVol. 3024(1)
Qinghai University (CN)
Openalex Percentile: Top 89%
Robotic Path Planning Algorithms
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Sampling System of Salt Lake UAV Based on Coverage Path Planning — X. H. Hilda Huang, Li Song, et al. · Journal of Physics Conference Series (2025) | TGRS Research Map | TGRS