• DocumentCode
    1682744
  • Title

    An algorithm for collaborative patrolling systems with unmanned air vehicles and unmanned ground vehicles

  • Author

    Caska, Serkan ; Gayretli, Ahmet

  • Author_Institution
    Mechatron. Eng. Dept., Afyon Kocatepe Univ., Afyonkarahisar, Turkey
  • fYear
    2015
  • Firstpage
    659
  • Lastpage
    663
  • Abstract
    In the past decade Unmanned Vehicles have become a topic of interest in many research organizations. Unmanned vehicles based systems are integrated to many applications in various areas ranging from military missions to wildfire detection. Recently, there has been a great interest to design collaborative systems of unmanned air vehicles (UAV) and unmanned ground vehicles (UGV). This paper proposes a new algorithm that can be used to calculate optimal UAV paths and UAV-UGV quantities to cover a target area. This algorithm is useful for patrolling systems based on the collaboration of unmanned air vehicles and unmanned ground vehicles.
  • Keywords
    autonomous aerial vehicles; multi-robot systems; path planning; collaborative patrolling systems; collaborative unmanned air vehicle systems; military missions; optimal UAV path calculation; optimal UAV-UGV quantity calculation; unmanned ground vehicles; unmanned vehicle based systems; wildfire detection; Batteries; Collaboration; Land vehicles; Robot kinematics; Robot sensing systems; Unmanned aerial vehicles; autonomous robots; multi-agent systems; path planning; robot collaboration; unmanned systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-7760-7
  • Type

    conf

  • DOI
    10.1109/RAST.2015.7208425
  • Filename
    7208425