Autonomous Unmanned Aerial Vehicle Route Planning

被引:0
|
作者
Ozalp, Nuri [1 ]
Sahingoz, Ozgur Koray [1 ]
Ayan, Ugur [2 ]
机构
[1] Hava Harp Okulu, Havacilik & Uzay Teknol Enstitusu, Istanbul, Turkey
[2] TUBIT AK, Bilisim Bilgi Guvenligi ileri Teknolojiler Arasti, Istanbul, Turkey
关键词
Unmanned air vehicle; route plannig; genetic algorithm; travelling salesman problem;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this study, a methodology detecting the radar make caught in real time during the flight or pre-flight route planning has been developed for an autonomous unmanned aerial vehicles (UAVs). The proposed method and genetic algorithms are implemented in parallel and duration is reduced to a large extent. The developed methodology can provide fast and safe routes for autonomous single or multiple UAV or operator-assisted flight.
引用
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页数:4
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