Research on UAV path planning algorithm under electromagnetic interference environment

With the advancement of technology, drones are increasingly used in complex environments. However, strong electromagnetic interference poses a challenge to their path planning. This study proposes an optimized method to improve the efficiency and stability of drones in such environments. Through experiments simulating path planning under electromagnetic interference, the results show that the optimized method effectively addresses these challenges and improves operational efficiency. A comparative analysis with existing technologies confirms the superiority of this approach, offering a new solution for drone path planning and decision-making in practical applications, with both theoretical and practical significance.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1117/12.3061827
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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Research on UAV path planning algorithm under electromagnetic interference environment

Teng Fang, Wenqi Ren, B. S. Zou, Ning Wang et al.
Robotic Path Planning Algorithms
article

Research on UAV path planning algorithm under electromagnetic interference environment

Teng Fang, Wenqi Ren, B. S. Zou, Ning Wang, Songtao Zhu, Xiaokang Zhu
article en

Abstract

With the advancement of technology, drones are increasingly used in complex environments. However, strong electromagnetic interference poses a challenge to their path planning. This study proposes an optimized method to improve the efficiency and stability of drones in such environments. Through experiments simulating path planning under electromagnetic interference, the results show that the optimized method effectively addresses these challenges and improves operational efficiency. A comparative analysis with existing technologies confirms the superiority of this approach, offering a new solution for drone path planning and decision-making in practical applications, with both theoretical and practical significance.

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Robotic Path Planning Algorithms
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