Open Access
Volume 39, Number 2, April 2021
Page(s) 382 - 391
Published online 09 June 2021
  1. Su Jianbo, Zhong Hai, Yin Wenqiang. Research on trajectory planning of UCAV attack based on Radau pseudospectral method[J]. Computer Simulation, 2019, 36(10):54–58 [Article] (in Chinese) [Google Scholar]
  2. Dong Wenhong, Ma Peibei, Ji Jun. Research on combat processing of UCAV[J]. Tactical Missile Technology, 2018, 1: 9–15 [Article] (in Chinese) [Google Scholar]
  3. Wang Yuan, Wei Zhenglei, Huang Changqiang, et al. Online cooperative trajectory planning for UCAV formation in uncertain environment[J]. Journal of Northwest Polytechnical University, 2018, 36(6):1145–1155 [Article] [Article] (in Chinese) [Google Scholar]
  4. Pehlivanoglu Y V. A new vibrational genetic algorithm enhanced with a Voronoi diagram for path planning of autonomous UAV[J]. Aerospace Science & Technology, 2012, 16(1):47–55 [Article] [Google Scholar]
  5. Pan Guangzhen, Li Yanü. Route planning for UAVs based on improved Voronoi diagram[J]. Electronics Optics & Control, 2014 (4):15–19 [Article] (in Chinese) [Google Scholar]
  6. Zhang Taosha, Lu Yi, Zhang Liang, et al. UAV path planning based on improved Voronoi diagram and dynamic weights A* algorithm[J]. Fire Control & Command Control, 2015 (2):156–160 [Article] (in Chinese) [Google Scholar]
  7. Chen Zhiwang, Xia Shun, Li Jianxiong, et al. Serial strategy for rendezvous of multiple UAVs based on directional A* algorithm[J]. Control & Decision, 2019, 34(6):1169–1177 [Article] (in Chinese) [Google Scholar]
  8. Zhan Weiwei, Wang Wei, Chen Nengcheng, et al. Path planning strategies for UAV based on improved A* algorithm[J]. Geomatics and Information Science of Wuhan University, 2015, 40(3):315–320 [Article] (in Chinese) [Google Scholar]
  9. Li Junhua, Liu Qunfang. Dynamic path planning of unmanned aerial vehicle based on sparse A* algorithm and cultural algorithm[J]. Journal of Applied Science, 2017, 35(1):128–138 [Article] (in Chinese) [Google Scholar]
  10. Chen Y B, Luo G C, Mei Y S, et al. UAV path planning using artificial potential field method updated by optimal control theory[J]. International Journal of Systems Science, 2016, 47(6):1407–1420 [Article] [Google Scholar]
  11. Luo Guanchen, Yu Jianqiao, Zhang Siyu, et al. UAV path planning across weather threat[J]. Trans of Beijing Institute of Technology, 2014, 34(10):1054–1059 [Article] (in Chinese) [Google Scholar]
  12. Zhen Ran, Zhen Shibo, Wu Xueli. An improved route planning algorithm for unmanned aerial vehicle based on artificial potential field[J]. Journal of Hebei University of Science and Technology, 2017, 38(3):278–284 [Article] (in Chinese) [Google Scholar]
  13. Yao P, Wang H L. Three-dimensional path planning for UAV based on improved interfered fluid dynamical system and grey wolf optimizer[J]. Journal of the Optical Society of America B Optical Physics, 2016, 30(3):615–623 [Article] [Google Scholar]
  14. Liu Yonglan, Li Weimin, Wu Husheng, et al. Track planning for unmanned aerial vehicles based on wolf pack algorithm[J]. Journal of System Simulation, 2015, 27(8):1838–1843 [Article] (in Chinese) [Google Scholar]
  15. Lin N. An adaptive RRT based on dynamic step for UAV path planning[J]. Journal of Information & Computational Science, 2015, 12(5):1975–1983 [Article] [Google Scholar]
  16. Yin Gaoyang, Zhou Shaolei, Wu Qingpo. Efficient path planning algorithm in three dimensions for UAV[J]. Journal of Northwestern Polytechnical University, 2016, 34(4):564–570 [Article] (in Chinese) [Google Scholar]
  17. Duan Haibin, Yang Zhiyuan. Large civil aircraft receding horizon control based on Cauthy mutation pigeon inspired optimization[J]. Sci Sin Tech, 2018, 48: 277–288 [Article] (in Chinese) [Google Scholar]
  18. Wang Wenbin, Qin Xiaolin, Zhang Lige, et al. Dynamic UAV trajectory planning based on receding horizon[J]. CAAI Trans on Intelligent Systems, 2018, 13(4):524–533 [Article] (in Chinese) [Google Scholar]
  19. Liu Chang, Xie Wenjun, Zhang Peng, et al. UAV autonomous obstacle avoidance[J]. Journal of Harbin Institute of Technology, 2020, 52(4):119–126 [Article] (in Chinese) [Google Scholar]
  20. Liu Bo, Wang Xiaoping, Zhou Cheng, et al. Dynamic path planning of UAVs based on RHC-QPSO[J]. Electronics Optics & Control, 2020, 27(10):1–7 [Article] [Google Scholar]

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