DocumentCode :
2158213
Title :
Cooperative ground moving target standoff tracking using UAVs
Author :
Wang, Lin ; Zhu, Huayong ; Shen, Lincheng
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume :
2
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
377
Lastpage :
382
Abstract :
To the problem of cooperative standoff tracking of a ground moving target using a team of UAVs, a novel solving framework was presented, which based on target state fusion estimation and prediction, as well as on-line motion planning. Firstly, a solving framework was presented, the formal representation and system models were established; secondly, the unscented information filter was suggested for the fusion estimation and prediction of the target state; thirdly, with a predicted target state, a modified central motion planning algorithm was presented, which based on Lyapunov vector field approach. Simulation results demonstrated that the performance of cooperative standoff target tracking was improved with regard to the fusion estimation and prediction of the target state.
Keywords :
Lyapunov methods; aerospace robotics; mobile robots; multi-robot systems; path planning; remotely operated vehicles; state estimation; target tracking; Lyapunov vector field approach; UAV; central motion planning algorithm; cooperative ground moving target standoff tracking; formal representation; fusion estimation; online motion planning; target state fusion estimation; target tracking; unscented information filter; Information filters; Land vehicles; Loss measurement; Motion estimation; Motion measurement; Predictive models; Road vehicles; State estimation; Target tracking; Unmanned aerial vehicles; UAV; cooperative standoff tracking; fusion estimation and prediction; orbit coordination; unscented information filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451560
Filename :
5451560
Link To Document :
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