Penetration Trajectory Planning in Complex Mountain Environment Based on Geographic Feature Extraction

Jing Tian, Kang Chen, Wenxing Fu, Tao Xu, Yifei Wang, Mengjing Gao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The low-altitude penetration technology of UAV capitalizes on environmental characteristics during real-time flight to mitigate the risk of attacks and enhance the likelihood of mission completion. Trajectory planning comprehensively consider environmental factors and aircraft performance to generate optimal trajectories. To address the challenge of generating low-altitude penetration trajectories in complex mountain environments, this paper proposes a method based on geographic feature extraction. This approach resolves issues such as slow trajectory planning and the complexity of environmental mathematical modeling across vast mountainous regions. By leveraging geographical feature information and extracting mountain valley lines as trajectory references, this paper employs the ESDF method and safe flight corridors for 3D trajectory planning. This geometric representation of complex flight environments enables the swift generation of UAV penetration trajectories meeting safety requirements. The trajectory planning method presented in this paper streamlines the planning process, boosts efficiency, and offers practical application value for UAV operations in mountainous terrain.

源语言英语
主期刊名Proceedings of 4th 2024 International Conference on Autonomous Unmanned Systems, 4th ICAUS 2024
编辑Lianqing Liu, Yifeng Niu, Wenxing Fu, Yi Qu
出版商Springer Science and Business Media Deutschland GmbH
56-67
页数12
ISBN(印刷版)9789819635672
DOI
出版状态已出版 - 2025
活动4th International Conference on Autonomous Unmanned Systems, ICAUS 2024 - Shenyang, 中国
期限: 19 9月 202421 9月 2024

出版系列

姓名Lecture Notes in Electrical Engineering
1377 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议4th International Conference on Autonomous Unmanned Systems, ICAUS 2024
国家/地区中国
Shenyang
时期19/09/2421/09/24

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