• DocumentCode
    1815350
  • Title

    Azimuth estimation of distant, approaching airplane in See-and-avoid Systems

  • Author

    Zsedrovits, Tamas ; Zarandy, Akos ; Vanek, Balint ; Peni, Tamas ; Bokor, Jozsef ; Roska, Tamas

  • Author_Institution
    Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
  • fYear
    2012
  • fDate
    29-31 Aug. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Visual detection based sense and avoid problem is more and more important nowadays as UAVs are getting closer to entering remotely piloted or autonomously into the airspace. It is critical to gain as much information as possible from the silhouettes of the distant aircrafts. In our paper, we investigate the reachable accuracy of the orientation information of remote planes under different geometrical condition, by identifying their wing lines from their detected wingtips. Under the assumption that the remote airplane is on a straight course, the error of the spatial discretization (pixelization), and the automatic detection error is calculated.
  • Keywords
    autonomous aerial vehicles; collision avoidance; computational geometry; object detection; robot vision; UAV; automatic detection error; azimuth estimation; detected wingtips; distant aircrafts; distant approaching airplane; geometrical condition; orientation information; remote pilot; remote planes; see-and-avoid systems; spatial discretization error; unmanned aerial vehicle; visual detection; wing lines; Aircraft; Atmospheric modeling; Azimuth; Cameras; Estimation; Humans; Image segmentation; See and Avoid; UAV; long range visual detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    2165-0160
  • Print_ISBN
    978-1-4673-0287-6
  • Type

    conf

  • DOI
    10.1109/CNNA.2012.6331431
  • Filename
    6331431