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