DocumentCode :
1794768
Title :
Joint route planning algorithm for RUAV when goal is vague
Author :
Jian Wu ; Donghao Zhang ; Denghong Pei
Author_Institution :
650 Res. Inst., Hongdu Aviation Ind. Group, Nanchang, China
fYear :
2014
fDate :
8-10 Aug. 2014
Firstpage :
23
Lastpage :
27
Abstract :
The route planning of RUAV (Reconnaissance Unmanned Aerial Vehicle) in unknown environment is a difficult problem, especially when goal is vague. In order to solve the problem, paper proposes the Regional Heuristic D*(RHD*) algorithm. This method divides the whole environment into a series of quasi-goal regions, and then calls RHD* algorithm to get the reference route. When the RUAV flying along with the reference route planed, it keeps invoking the AHP (Analytic Hierarchy Process) to judge if an object can be considered as the goal, until it finds out the goal and completes the route planning. The mentioned method that combines AHP with RHD*algorithm, is demonstrated effectively by simulation results.
Keywords :
analytic hierarchy process; autonomous aerial vehicles; path planning; AHP; RHD* algorithm; RUAV; analytic hierarchy process; joint route planning algorithm; reconnaissance unmanned aerial vehicle; regional heuristic D* algorithm; Algorithm design and analysis; Analytic hierarchy process; Conferences; Heuristic algorithms; Path planning; Planning; Reconnaissance; AHP; Goal vague; Quasi-target region; RHD∗ algorithm; RUAV; Reference route;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
Type :
conf
DOI :
10.1109/CGNCC.2014.7007215
Filename :
7007215
Link To Document :
بازگشت