DocumentCode :
517677
Title :
Grey evaluation and optimization of UAV´s path planning method
Author :
Zhang Da-qiao ; Zhao Jiu-fen ; Wang Ming-hai ; Niu Guo-hua
Author_Institution :
Xi´an Res. Inst. of Hi-Tech, Xi´an, China
fYear :
2010
fDate :
7-10 May 2010
Firstpage :
85
Lastpage :
88
Abstract :
It is important and significant to select a high efficiency path planning method for the operational employ of UAV. According to the characteristic of current path planning methods and the path planning of unmanned aerial vehicle, the paper established an index system which was used to evaluate path planning methods. Based on this, it had an evaluation of path planning method by using grey clustering evaluation method with improved index weigh coefficient, and then explained the application method by combing with a example. From the result of example, it can be seen that using path planning method´s grey clustering evaluation with improved index weigh coefficient can effectively reduce the influence of subjective factor and get a more objective result, furthermore it also provides a effective way to comprehensively and systematically evaluate path planning methods. It can provide decision-making basis for selecting and optimizing path planning method too.
Keywords :
aircraft; grey systems; optimisation; path planning; remotely operated vehicles; UAV; grey clustering evaluation; index system; index weigh coefficient; optimization; path planning method; unmanned aerial vehicle; Cities and towns; Cost accounting; Decision making; Evolutionary computation; Mathematical model; Mathematical programming; Optimization methods; Path planning; Statistical analysis; Unmanned aerial vehicles; Unmanned Aerial Vehicle(UAV); grey clustering; grey valuation; path planning method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Computer Technology (ICECT), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7404-2
Electronic_ISBN :
978-1-4244-7406-6
Type :
conf
DOI :
10.1109/ICECTECH.2010.5479981
Filename :
5479981
Link To Document :
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