DocumentCode :
1794766
Title :
Autonomous route planning for UAV when threats are uncertain
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 :
19
Lastpage :
22
Abstract :
Route planning in 3-D uncertainty environment, especially when the threats are uncertain, is the trend of the UAV (unmanned aerial vehicle) route planning. Against the opacity of enemy threat information, the threat probability model is adopted to determine the location of the threat, and D-S evidence synthesis algorithm is used to determine the threat strength, then to calls D* route planning algorithm getting UAV flight route and forming the "flying, judging and planning" autonomous planning pattern. Paper also analyzes various threats and then establishes 3-D models for these threats. The method turns out to be feasible by simulation.
Keywords :
autonomous aerial vehicles; inference mechanisms; path planning; probability; uncertainty handling; D-S evidence synthesis algorithm; Dempster-Shafer algorithm; UAV; autonomous route planning; enemy threat information; flying-judging-and-planning autonomous planning pattern; threat probability model; unmanned aerial vehicle; Algorithm design and analysis; Approximation algorithms; Atmospheric modeling; Heuristic algorithms; Missiles; Planning; Radar; 3-D; D∗ algorithm; D-S evidential synthesis algorithm; Threat Probability Model; Uncertainty Environment;
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.2014.7007214
Filename :
7007214
Link To Document :
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