• DocumentCode
    725487
  • Title

    Autonomous patrol and surveillance system using unmanned aerial vehicles

  • Author

    Kian Seng Lee ; Ovinis, Mark ; Nagarajan, T. ; Seulin, Ralph ; Morel, Olivier

  • Author_Institution
    Mech. Eng. Dept., Univ. Teknol. PETRONAS, Bandar Seri Iskandar, Malaysia
  • fYear
    2015
  • fDate
    10-13 June 2015
  • Firstpage
    1291
  • Lastpage
    1297
  • Abstract
    Unmanned aerial vehicles (UAVs) are increasingly popular for civil applications due to their flight capabilities and mobility. This paper proposes an indoor autonomous patrol and surveillance system using unmanned aerial vehicles. The system consists of six components: (1) a low cost vision-based pose estimation of UAVs, (2) vision-based state estimation, (3) UAV patrol path planning, (4) UAV controller to desired waypoints, (5) manual joystick controller and (6) assignment of priority hierarchy to multiple control inputs of a robot. The components were integrated successfully and the designed system was experimented in an indoor setup. Results has shown that the proposed system is suitable and feasible to be used as an autonomous patrol and surveillance agent for indoors use.
  • Keywords
    aerospace control; autonomous aerial vehicles; mobile robots; telerobotics; video surveillance; UAV controller; UAV patrol path planning; autonomous patrol; flight capabilities; flight mobility; manual joystick controller; surveillance system; unmanned aerial vehicles; vision based pose estimation; vision based state estimation; Cameras; Robots; State estimation; Surveillance; UAV control; UAV surveillance; autonomous system; indoor security; path planning; patrol; robot control hierarchy; smart building; unmanned aerial vehicle; vision-based state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4799-7992-9
  • Type

    conf

  • DOI
    10.1109/EEEIC.2015.7165356
  • Filename
    7165356