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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 4th 2024 International Conference on Autonomous Unmanned Systems, 4th ICAUS 2024
EditorsLianqing Liu, Yifeng Niu, Wenxing Fu, Yi Qu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages56-67
Number of pages12
ISBN (Print)9789819635672
DOIs
StatePublished - 2025
Event4th International Conference on Autonomous Unmanned Systems, ICAUS 2024 - Shenyang, China
Duration: 19 Sep 202421 Sep 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1377 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Autonomous Unmanned Systems, ICAUS 2024
Country/TerritoryChina
CityShenyang
Period19/09/2421/09/24

Keywords

  • ESDF
  • Geographic information extraction
  • Trajectory planning

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