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
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