• DocumentCode
    3159918
  • Title

    Intelligent conflict detection and awareness for UAVs

  • Author

    Albaker, B.M. ; Rahim, N.A.

  • Author_Institution
    UMPEDAC Res. Centre, Univ. of Malaya, Kuala Lumpur, Malaysia
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    The deployment of unmanned aerial vehicles into the airspace is directly related to their ability to detect and avoid other aircraft objects. Through the performance analysis of the conflict detection and avoidance requirement, conceptual functional architecture of the conflict detection and conflict awareness are proposed with a method to extract collision parameters. These parameters include collision points, time to collision, collision interval and collision angle. The method is based onto monitoring the environment and sharing of flight plan segments among conflicting aircraft. The detection of a potential conflict is achieved by projecting states of the conflicting aircrafts´ flight plans in the near future. In addition, the method estimates a suitable time to activate avoidance model and pass extracted collision parameters to that model. That is, in order to handle the maneuvering commands and thereby avoid conflicts.
  • Keywords
    aircraft; collision avoidance; remotely operated vehicles; avoidance requirement; conceptual functional architecture; decentralized collision avoidance; intelligent conflict awareness; intelligent conflict detection; unmanned aerial vehicles; Aerospace control; Air traffic control; Aircraft; Collision avoidance; Computational intelligence; Distributed algorithms; Distributed computing; Humans; Intelligent systems; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Technologies in Intelligent Systems and Industrial Applications, 2009. CITISIA 2009
  • Conference_Location
    Monash
  • Print_ISBN
    978-1-4244-2886-1
  • Electronic_ISBN
    978-1-4244-2887-8
  • Type

    conf

  • DOI
    10.1109/CITISIA.2009.5224202
  • Filename
    5224202