• DocumentCode
    3695375
  • Title

    A vision based landing spot searching for unmanned aerial vehicle using satellite image

  • Author

    Keunyoung Park;Doohyun Kim;Dongwoon Jeon

  • Author_Institution
    Department of Internet &
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Recently, unmanned smart devices have become popular in various fields from the military to civil use. Flight in complex urban areas requires high-level autonomous flying techniques to ensure the safety of people. In addition, UAVs can encounter critical circumstances when flying because of inevitable obstacles, component malfunction, or faulty systems. These factors can force emergency landing on suitable spots. This paper proposes an emergency landing procedure that uses pre-selected available landing spots from satellite images, and navigates UAVs to such spots in an emergency. Searching suitable landing spots using a camera in an emergency is time-consuming. This paper also proposes a simple method that searches for landing spots in satellite images using proper shapes and areas. By applying this method, our results estimate that appropriate landing spots can be searched correctly.
  • Keywords
    "Satellites","Image color analysis","Image segmentation","Urban areas","Satellite navigation systems","Cameras","Shape"
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIEV.2015.7334046
  • Filename
    7334046