• Electronics Optics & Control
  • Vol. 30, Issue 4, 56 (2023)
SONG Zhiqiang1, XIA Qingfeng1, CHEN Shaobo2, and ZOU Jiajia2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2023.04.011 Cite this Article
    SONG Zhiqiang, XIA Qingfeng, CHEN Shaobo, ZOU Jiajia. UAV Path Planning with Improved Spherical Vector Based Particle Swarm Optimization[J]. Electronics Optics & Control, 2023, 30(4): 56 Copy Citation Text show less
    References

    [1] AZMAT M, KUMMER S.Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain[J].Asian Journal of Sustainability and Social Responsibility, 2020, 5:1-22.

    [2] SOLODOV A, WILLIAMS A, HANAEI S A, et al.Analyzing the threat of unmanned aerial vehicles (UAV) to nuclear facilities[J].Security Journal, 2018, 31(1):305-324.

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    [8] TANG J, SUN J Y, LU C, et al.Optimized artificial potential field algorithm to multi-unmanned aerial vehicle coordinated trajectory planning and collision avoidance in three-dimensional environment[J].Proceedings of the Institution of Mechanical Engineers, Part G:Journal of Aerospace Engineering, 2019, 233(16):6032-6043.

    [9] ROBERGE V, TARBOUCHI M, LABONT G.Fast genetic algorithm path planner for fixed-wing military UAV using GPU[J].IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(5):2105-2117.

    [12] PHUNG M D, HA Q P.Safety-enhanced UAV path planning with spherical vector-based particle swarm optimization[J].Applied Soft Computing, 2021, 107:1-15.

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    SONG Zhiqiang, XIA Qingfeng, CHEN Shaobo, ZOU Jiajia. UAV Path Planning with Improved Spherical Vector Based Particle Swarm Optimization[J]. Electronics Optics & Control, 2023, 30(4): 56
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