• 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