DocumentCode :
2046175
Title :
Optimal Attention Allocation to Visual Search Tasks of Multi-UAVs Based on Operator Model
Author :
Lixuan Jian ; Dong Yin ; Lincheng Shen ; Jian Yang
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2015
fDate :
2-5 Aug. 2015
Firstpage :
1767
Lastpage :
1771
Abstract :
In the context of multi-UAVs performing target search missions, we solve a problem of optimal time-duration allocation to each visual search task and the rest time after processing it. First, we design a decision support system framework based on the operator decision-making model. Then we put forward an algorithm which is intended to solve the problem based on dynamic programming using a receding horizon strategy. Finally, we compare this algorithm with the greedy policy. The simulation results show that this algorithm is better than the greedy policy.
Keywords :
autonomous aerial vehicles; decision making; decision support systems; dynamic programming; multi-robot systems; decision support system framework; dynamic programming; greedy policy; multiUAVs; operator decision-making model; optimal attention allocation; optimal time-duration allocation; receding horizon strategy; target search missions; visual search tasks; Automation; Decision making; Decision support systems; Optimization; Resource management; Search problems; Visualization; dynamic programming; operator decision-making model; receding horizon optimization policy; situational awareness model; visual search task;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
Type :
conf
DOI :
10.1109/ICMA.2015.7237753
Filename :
7237753
Link To Document :
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