DocumentCode :
720469
Title :
A UAV solution of regional surveillance based on pheromones and artificial potential field theory
Author :
Yaohong Qu ; Yintao Zhang ; Youmin Zhang
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear :
2015
fDate :
9-12 June 2015
Firstpage :
380
Lastpage :
385
Abstract :
In recent years, the regional surveillance has an increasingly range of applications. This paper proposes a solution for using multiple UAVs to regional surveillance based on pheromones and artificial potential field theory. First, the flight environment of target area is divided into a number of units. Then, the pheromones model is applied in each unit. Due to the diffusibility of pheromones, a gradient of pheromones would be formed in the target area. After that, the UAV would fly along the gradient of pheromones towards the high intensity areas. Finally, the solution is improved with artificial potential field theory for successfully resolving the issues of obstacle avoidance, collision avoidance and optimal search. Simulations in three cases have been carried out to verify the effectiveness of the proposed solution.
Keywords :
autonomous aerial vehicles; collision avoidance; optimal control; search problems; surveillance; UAV solution; artificial potential field theory; collision avoidance; flight environment; obstacle avoidance; optimal search; pheromones diffusibility; pheromones gradient; pheromones model; regional surveillance; unmanned aerial vehicle; Gravity; Mathematical model; Radar; Reconnaissance; Search problems; Surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4799-6009-5
Type :
conf
DOI :
10.1109/ICUAS.2015.7152313
Filename :
7152313
Link To Document :
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