Application of Improved Neural Network in 3D Path Planning of UAVs

CHEN Xia; AI Yu-di

doi:10.3969/j.issn.1671-637x.2018.09.002

Journals >Electronics Optics & Control >Volume 25 >Issue 9 >Page 7 > Article

Electronics Optics & Control
Vol. 25, Issue 9, 7 (2018)

Application of Improved Neural Network in 3D Path Planning of UAVs

CHEN Xia and AI Yu-di

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2018.09.002 Cite this Article

CHEN Xia, AI Yu-di. Application of Improved Neural Network in 3D Path Planning of UAVs[J]. Electronics Optics & Control, 2018, 25(9): 7 Copy Citation Text

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References

[7] TIAN L F, COLLINS C.An effective robot trajectory planning method using a genetic algorithm ［J］.Mechatronics, 2004, 14: 455-470.

[8] TAN G Z, HE H, SLOMAN A.Global optimal path planning for mobile robot based on improved Dijkstra algorithm and ant system algorithm ［J］.Journal CSUT, 2006, 13(1):80-86.

[10] WU X X, MING Y, WANG J．An improved path planning approach based on particle swarm optimization［C］//International Conference on Hybrid Intelligent Systems (HIS), 2011:157-161．

[15] LEON J L.Automatic path planning for a mobile robot among obstacles of arbitrary shape ［J］.IEEE Trans.SMC (S1083-4419), 1993, 28(3):467-471.

CHEN Xia, AI Yu-di. Application of Improved Neural Network in 3D Path Planning of UAVs[J]. Electronics Optics & Control, 2018, 25(9): 7

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