DocumentCode :
3210709
Title :
Path planning for reconnaissance UAV based on Particle Swarm Optimization
Author :
Bao, Yong ; Fu, Xiaowei ; Gao, Xiaoguang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Volume :
2
fYear :
2010
fDate :
13-14 Sept. 2010
Firstpage :
28
Lastpage :
32
Abstract :
This paper presents a method of fixed-point reconnaissance path planning for Unmanned Aerial Vehicle(UAV). In this method, Particle Swarm Optimization(PSO) is introduced into reconnaissance UAV path planning algorithm, and targets value, effective reconnaissance path and other factors that impact UAV path planning are included in the objective function of PSO. The optimal solution of reconnaissance path is obtained by optimizing of PSO. At last, the simulation is carried out and satisfactory results are achieved.
Keywords :
aircraft; particle swarm optimisation; path planning; remotely operated vehicles; particle swarm optimization; path planning; reconnaissance UAV; unmanned aerial vehicle; Particle swarm optimization; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7705-0
Type :
conf
DOI :
10.1109/CINC.2010.5643794
Filename :
5643794
Link To Document :
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