• DocumentCode
    2727385
  • Title

    Vision-aided navigation for aircrafts based on road junction detection

  • Author

    Wu Liang ; Hu Yunan

  • Author_Institution
    Autom. Control Dept., Naval Aeronaut. Eng. Acad., Yantai, China
  • Volume
    4
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    164
  • Lastpage
    169
  • Abstract
    In this paper, a vision-aided navigation method for aircraft is proposed. The road network is detected from ground scenes provided by down-looking camera. The road junctions are extracted and referenced. Based on the principle of camera calibration, the position of the aircraft can be estimated by the road junction matching pairs in image and digital map. It is then employed to fix the accumulative error of INS. In order to improve the matching efficiency, the property of road junction and the orientation and the height output of INS are used to reduce the searching space. The simulation results have verified its feasibility.
  • Keywords
    aircraft; calibration; cameras; computer vision; eigenvalues and eigenfunctions; navigation; roads; aircrafts; camera calibration; road junction detection; road network; vision-aided navigation; Aerospace control; Aircraft navigation; Aircraft propulsion; Calibration; Cameras; Geographic Information Systems; Layout; Roads; Satellite navigation systems; Vehicles; machine vision; navigation; road junction detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357697
  • Filename
    5357697