Literature Review on Autonomous Navigation of Drones

Authors

  • Yiheng Wang
  • Jianxin Guo

DOI:

https://doi.org/10.6919/ICJE.202505_11(5).0042

Keywords:

Drones; Autonomous Navigation; Visual Navigation; Ultra-Wideband (UWB) Technology; Deep Learning.

Abstract

This paper reviews the research progress in the field of autonomous navigation of drones, with a particular focus on navigation and positioning issues in environments where satellite signals are limited. It begins by introducing the potential applications of drones in civilian, military, and scientific research fields, as well as the importance of drone navigation systems for the quality of task completion. The paper then discusses the current state of research both domestically and internationally on navigation based on multi-agent reinforcement learning for visual navigation, deep reinforcement learning navigation algorithms, and navigation using the fusion of multiple sensors. The application of Ultra-Wideband (UWB) technology in the field of drone autonomous navigation is also explored, including its positioning principles and potential in drone swarm intelligence. Additionally, the paper analyzes the current state of development of drone autonomous landing systems in both civilian and military fields. Finally, the paper discusses the research progress in drone detection and recognition technology based on deep learning, as well as radar detection and recognition technology for drones.

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References

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Published

2025-04-22

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Section

Articles

How to Cite

Wang, Yiheng, and Jianxin Guo. 2025. “Literature Review on Autonomous Navigation of Drones”. International Core Journal of Engineering 11 (5): 354-64. https://doi.org/10.6919/ICJE.202505_11(5).0042.