• DocumentCode
    2910732
  • Title

    Sense and avoid radar using Data Fusion with other sensors

  • Author

    Cornic, Pascal ; Garrec, Patrick ; Kemkemian, Stephane ; Ratton, Laurent

  • Author_Institution
    Thales Airborne Syst., Elancourt, France
  • fYear
    2011
  • fDate
    5-12 March 2011
  • Firstpage
    1
  • Lastpage
    14
  • Abstract
    UAV (Unmanned Aerial Vehicle) are employed in crisis or war times. For training purposes, they must be flown in special areas called “segregated areas”. In the future, both for emerging civilian applications and for training purposes, UAV will have to be inserted into the general Air traffic. So, UAV will have to be equipped with “Sense and Avoid” systems. An interesting solution is to merge a co-operative sensor like ADS-B and a non-cooperative “all weather” one, namely Radar. In favorable cases, the Radar measurements can be improved by using additional Electro-Optical sensors, for instance video sensors.
  • Keywords
    air traffic; aircraft; mobile robots; radar; remotely operated vehicles; sensor fusion; ADS-B; UAV; co-operative sensor; data fusion; electro-optical sensor; radar measurement; unmanned aerial vehicle; video sensor; Aircraft; Azimuth; Radar; Sensor systems; Signal to noise ratio; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2011 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-7350-2
  • Type

    conf

  • DOI
    10.1109/AERO.2011.5747514
  • Filename
    5747514