Open Access
Volume 39, Number 4, August 2021
Page(s) 761 - 769
Published online 23 September 2021
  1. Lyu Yang, Kang Tongna, Pan Quan, et al. UAV sense and avoidance: concepts, technologies, and systems[J]. Scientia Sinica Informationis, 2019, 49: 520–537 [Article] (in Chinese) [Google Scholar]
  2. Zhang Siyuan, Li Xianying, Shen Xiaoyun. ADS-B IN based conflict prediction and conflict-free trajectory planning for multi-aircraft[J]. Journal of System Simulation, 2019, 31(8): 1627–1635 [Article] (in Chinese) [Google Scholar]
  3. Arteaga R A, Cavalin M, Dandachy M, et al. Application of an ADS-B sense and avoid algorithm[C]//AIAA Flight Testing Conference, 2016 [Google Scholar]
  4. Li Zhuyuan. Study for autonomous obstacle-avoiding algorithm of civilian UAVs[D]. Guanghan: Civil Aviation Flight University of China, 2018 (in Chinese) [Google Scholar]
  5. Sahawneh L R, Duffield M O, Beard R W, et al. Detect and avoid for small unmanned aircraft systems using ADS-B[J]. Air Traffic Control Quarterly, 2015, 23(2/3): 203–240 [Google Scholar]
  6. Fasano G, Accado D, Moccia A, et al. Sense and avoid for unmanned aircraft systems[J]. IEEE Aerospace and Electronic Systems Magazine, 2016, 31(11): 82–110 [Article] [Google Scholar]
  7. Yu X, Zhang Y M. Sense and avoid technologies with applications to unmanned aircraft systems: review and prospects[J]. Progress in Aerospace Sciences, 2015, 74: 152–166 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  8. Ni Yude, Ma Yushen, Liu Ping. Aircraft conflict detection based on ADS-B[J]. Journal of Civil Aviation University of China, 2014, 32(5): 31–35, 44 [Article] (in Chinese) [Google Scholar]
  9. Jia Yuncong. Research on the UAV conflict avoidance method and hedging equipment[D]. Shijiazhuang: Hebei University of Science and Technology, 2018 (in Chinese) [Google Scholar]
  10. Zhang Zhongguang, Shi Hongwei. A conflict alert algorithm based on ADS-B information[J]. Computer and Modernization, 2015(11): 79–83 [Article] (in Chinese) [Google Scholar]
  11. Jie Dong. Research on technologies of UAV conflict detection and resolution strategy[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2019 (in Chinese) [Google Scholar]
  12. Zhang Songcan, Pu Jiexin, Si Yanna, et al. Survey on application of ant colony algorithm in path planning of mobile robot[J]. Computer Engineering and Applications, 2020, 56(8): 10–19 [Article] (in Chinese) [Google Scholar]
  13. Li Xianqiang, Ma Rong, Zhang Shen, et al. Improved design of ant colony algorithm and its application in path planning[J]. Acta Aeronautica et Astronautica Sinica, 2020, 41(suppl 2): 213–219 [Article] (in Chinese) [Google Scholar]
  14. Liu Yang, Zhang Weiguo, Li Guangwen, et al. Path Planning of UAV in dynamic environment[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(2): 252–256 [Article] (in Chinese) [Google Scholar]
  15. Zhang C, Hu C, Feng J, et al. A self-heuristic ant-based method for path planning of unmanned aerial vehicle in complex 3D space with dense u-type obstacles[J]. IEEE Access, 2019, 99: 1–1 [Google Scholar]
  16. Li Li, Li Hong, Shan Ningbo. Path planning based on improved ant colony algorithm with multiple inspired factor[J]. Computer Engineering and Applications, 2019, 55(5): 219–225, 250 [Article] (in Chinese) [Google Scholar]
  17. Ni Zhuang, Xiao Gang, Jing Zhongliang, et al. Path planning method for aircrafts conflict resolution based on improved ant colony algorithm[J]. Transducer and Microsystem Technologies, 2016, 35(4): 130–133 [Article] (in Chinese) [Google Scholar]
  18. Zhang Shuran. Research on UAV track planning based on swarm intelligence algorithm[D]. Chengdu: University of Electronic Science and Technology of China, 2020 (in Chinese) [Google Scholar]

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