• DocumentCode
    1783214
  • Title

    Vision-based autonomous landing system for unmanned aerial vehicle: A survey

  • Author

    Weiwei Kong ; Dianle Zhou ; Daibing Zhang ; Jianwei Zhang

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol. (NUDT), Changsha, China
  • fYear
    2014
  • fDate
    28-29 Sept. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Recently, there has been growing interest in developing unmanned aircraft system (UAS) based on visual sensors. During the whole autonomous assignment, the landing procedure is one of the most dangerous and challenging process. For most of unmanned aircraft vehicle, visual sensors are the basic equipment, which are also widely used during the landing maneuver. This paper first presents the main research groups involved in the development of vision-based autonomous landing systems. Then it discusses the detail of each algorithms and systems in different categories. The goal of this paper is to review the state-of-the-art vision-based autonomous landing methods that captures all milestones and seminal works. These algorithms and systems are classified into different categories. Finally, the paper highlights challenges in this research field.
  • Keywords
    autonomous aerial vehicles; image sensors; robot vision; visual servoing; UAS; UAV; autonomous assignment; landing maneuver; landing procedure; unmanned aerial vehicle; unmanned aircraft system; vision-based autonomous landing system; visual sensors; Automation; Cameras; Helicopters; Robots; Sensors; Unmanned aerial vehicles; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6731-5
  • Type

    conf

  • DOI
    10.1109/MFI.2014.6997750
  • Filename
    6997750