Title :
Autonomous unmanned aerial vehicle route planning
Author :
Ozalp, N. ; Sahingoz, Ozgur Koray ; Ayan, U.
Author_Institution :
Havacilik ve Uzay Teknolojileri Enstitusu, Hava Harp Okulu, Istanbul, Turkey
Abstract :
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.
Keywords :
autonomous aerial vehicles; genetic algorithms; mobile robots; path planning; telerobotics; autonomous single UAV flight; autonomous unmanned aerial vehicle route planning; fast route; genetic algorithm; multiple UAV flight; operator-assisted flight; preflight route planning; radar detection; safe route; Computational modeling; Planning; Routing; Unmanned air vehicle; genetic algorithm; route plannig; travelling salesman problem;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
DOI :
10.1109/SIU.2013.6531559
