Electronics Optics & Control, Volume. 21, Issue 4, 15(2014)
Route Planning for UAVs Based on Improved Voronoi Diagram
[1] [1] DU P, YANG C.Introduction of air vehicle path planning algorithms[J].Flight Dynamics, 2005, 23(2): 10-14.
[2] [2] WANG X Z, YAO M, ZHAO M, et al.Path planning for UAV based on ant colony algorithm and dynamic simulation[J].Command Control & simulation, 2012, 34(1):29-31.
[3] [3] YAN D W, GU L X, WANG X Z.The study of cruise missile path planning with Voronoi diagram[J].Journal of Projectiles, Rockets, Missiles and Guidance, 2005, 25(2): 11-13.
[4] [4] ZONG D W.Voronoi diagrams and its applications[D].Nanjing:Nanjing University of Aeronautics and Astronautics, 2006.
[5] [5] CHEN H H, LIU Y, DU Y L.Path planning of unmanned aerial vehicle[J].Journal of Computer Application, 2011, 31(9):2574-2576.
[6] [6] YU J, LV P, ZHENG C W.A comparative research on methods of Delaunay triangulation[J].Journal of Image and Graphics, 2010, 15(8):1158-1167.
[7] [7] GAO X G, YANG Y L.Initial path planning based on different threats for unmanned combat air vehicles[J].Acta Aeronautica Et Astronautica Sinica, 2003, 24(5):435-438.
[8] [8] ZHOU X M, LI Y F.Algorithm research to generate triangulation network based on Bowyer-Watson[J].Computer Engineering and Application, 2013, 49(6):198-200.
[9] [9] LUO Q.Research on integrated route planning and task assignment of air-to-ground attacking under multiple threats[D].Changsha:National University of Defense Technology, 2010.
[10] [10] QIAO Q, SHI C J.Multi-objective optimization method for aircraft path planning[J].Microcomputer Information, 2010, 26(11):172-174.
[11] [11] FENG H, QU X J.UAV's path planning based on multi-objective fuzzy optimization strategy[J].Flight Dynamics, 2007, 25(2):25-29.
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PAN Guang-zhen, LI Ya-nü. Route Planning for UAVs Based on Improved Voronoi Diagram[J]. Electronics Optics & Control, 2014, 21(4): 15
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Received: Jul. 28, 2013
Accepted: --
Published Online: Apr. 24, 2014
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