• DocumentCode
    3075272
  • Title

    Development of an unmanned aerial vehicle for rooftop landing and surveillance

  • Author

    Kun Li ; Peidong Liu ; Tao Pang ; Zhaolin Yang ; Chen, Ben M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2015
  • fDate
    9-12 June 2015
  • Firstpage
    832
  • Lastpage
    838
  • Abstract
    This paper presents a novel solution for a typical small-scaled quad-rotor UAV to autonomously search for and land on a pre-designed marker placed on a rooftop and to observe a digit panel on the opposite building. The UAV is equipped with a downward-facing monocular camera for landing target detection and pose estimation, as well as a front-facing camera for digit panel observation and surveillance. The UAV navigates to the landing site based on GPS and transits to vision-guided navigation once the UAV identifies the targeted marker. The target searching and observation thread will take over once the UAV successfully lands on the rooftop. The presented vision-based navigation and detection algorithms were demonstrated with fully autonomous flight carried out during the competition IMAV 2014.
  • Keywords
    Global Positioning System; aerospace navigation; autonomous aerial vehicles; cameras; helicopters; mobile robots; object detection; pose estimation; robot vision; surveillance; GPS; UAV navigation; digit panel observation; downward-facing monocular camera; front-facing camera; landing target detection; pose estimation; rooftop landing; small-scaled quadrotor UAV; surveillance; target searching; unmanned aerial vehicle; vision-guided navigation; Buildings; Cameras; Estimation; Image color analysis; Navigation; Object detection; 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.2015.7152368
  • Filename
    7152368