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All issues Volume 44 / No 1 (February 2026) JNWPU, 44 1 (2026) 92-101 References
Open Access
Issue
JNWPU
Volume 44, Number 1, February 2026
Page(s) 92 - 101
DOI https://doi.org/10.1051/jnwpu/20264410092
Published online 27 April 2026
  1. Zhang Wenchang. UAV application and thinking[J]. Defence Science & Technology Industry, 2023(4): 47–49 (in Chinese) [Google Scholar]
  2. Gugan G, Haque A. Path planning for autonomous drones: challenges and future directions[J]. Drones, 2023, 7(3): 169 [Article] [Google Scholar]
  3. Shen Lincheng, Chen Jing, Wang Nan. Overview of air vehicle mission planning techniques[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(3): 593–606 (in Chinese) [Google Scholar]
  4. Moon S, Jeon J, Kim D, et al. Swarm reconnaissance drone system for real-time object detection over a large area[J]. IEEE Access, 2023, 11: 23505–23516 [Article] [Google Scholar]
  5. Cai Bowen. Reflections on our army's urban warfare in the battle of Mosul[J]. Military Digest, 2018(13): 71–74 (in Chinese) [Google Scholar]
  6. Song Y, Xi Q, Xing X, et al. Multi-UAV cooperative multi-target allocation method based on differential evolutionary algorithm[C]//2020 39th Chinese Control Conference, 2020: 1655-1660. [Google Scholar]
  7. Chen J, Li M, Yuan Z, et al. An improved A* algorithm for UAV path planning problems[C]//2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference, 2020: 958-962. [Google Scholar]
  8. Bai X, Jiang H, Cui J, et al. UAV path planning based on improved A* and DWA algorithms[J]. International Journal of Aerospace Engineering, 2021(1): 4511252 [Google Scholar]
  9. Jayaweera H M, Hanoun S. A dynamic artificial potential field(D-APF) UAV path planning technique for following ground moving targets[J]. IEEE Access, 2020, 8192760–192776 [Article] [Google Scholar]
  10. Guo Yicong, Liu Xiaoxiong, Zhang Weiguo, et al. 3D path planning method for UAV based on improved artificial field[J]. Journal of Northwestern Polytechnical University, 2020, 38(5): 977–986 [Article] (in Chinese) [Google Scholar]
  11. Li Q, Wei C, Wu J, et al. Improved PRM method of low altitude penetration trajectory planning for UAVs[C]//Proceedings of 2014 IEEE Chinese Guidance, Navigation and Control Conference, 2014: 2651-2656. [Google Scholar]
  12. Li W, Wang L, Zou A,et al. Path planning for UAV based on improved PRM[J]. Energies, 2022, 15(19): 7267 [Article] [Google Scholar]
  13. Guo Y, Liu X, Liu X, et al. FC-RRT*: an improved path planning algorithm for UAV in 3D complex environment[J]. ISPRS International Journal of Geo-Information, 2022, 11(2): 112 [Article] [Google Scholar]
  14. Yang F, Fang X, Gao F, et al. Obstacle avoidance path planning for UAV based on improved RRT algorithm[J]. Discrete Dynamics in Nature and Society, 2022(1): 4544499 [Google Scholar]
  15. Aljalaud F, Kurdi H, Youcef-Toumi K. Bio-inspired multi-UAV path planning heuristics: a review[J]. Mathematics, 2023, 11(10): 2356 [Article] [Google Scholar]
  16. Shi K, Zhang X, Xia S. Multiple swarm fruit fly optimization algorithm based path planning method for multi-UAVs[J]. Applied Sciences, 2020, 10(8): 2822 [Article] [Google Scholar]
  17. Lu Ying, Pang Lichen, Chen Yusi, et al. A swarm intelligence algorithm for UAV path planning in urban warfare[J]. Acta Armamentarii, 2023, 44(S2): 146–156 (in Chinese) [Google Scholar]
  18. Ail Z A, Zhangang H, Zhengru D. Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment[J]. Measurement and Control, 2023, 56(3/4): 459–469 [Google Scholar]
  19. Aljalaud F, Kurdi H, Youcef-Toumi K. Autonomous multi-UAV path planning in pipe inspection missions based on booby beha-vior[J]. Mathematics, 2023, 11(9): 2092 [Article] [Google Scholar]
  20. Shin J J, Bang H. UAV path planning under dynamic threats using an improved PSO algorithm[J]. International Journal of Aerospace Engineering, 2020(1): 8820284 [Google Scholar]
  21. Dechter R, Pearl J. Generalized best-first search strategies and the optimality of A*[J]. Journal of the ACM, 1985, 32(3): 505–536 [Article] [Google Scholar]
  22. Sniedovich M. Dijkstra's algorithm revisited: the dynamic programming connexion[J]. Control and Cybernetics, 2006, 35(3): 599–620 [Google Scholar]

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