• DocumentCode
    3222469
  • Title

    Multi sensor data fusion for real time aircraft collision

  • Author

    Harris, C.J.

  • Author_Institution
    Image, Speech & Intelligent Syst. Res. Group, Southampton Univ., UK
  • fYear
    1996
  • fDate
    35376
  • Firstpage
    42705
  • Abstract
    One particular flight safety problem that has relevance to a variety of different types of rotorcraft is assisting the pilot in obstacle avoidance. Obstacles, in this context, may typically include other aircraft, terrain features, buildings, bridges, overhead cables and poles. The problem is especially difficult in bad weather conditions, (such as fog, snow, and heavy rain), in the presence of heavy smoke, or dust, or at night. Also it must be noted that the dynamics of the moving obstacles (other aircraft etc.) will not in general be linear or indeed even known a priori. The large amounts of data available to the crew might originate from on-board their own aircraft, from communications from other aircraft, or from communications from ground based stations. All of these sources will provide information of varying degrees of quality and reliability. It is this particular obstacle avoidance problem that this article addresses
  • Keywords
    sensor fusion; bad weather conditions; bridges; buildings; dust; flight safety; fog; ground based stations; heavy rain; heavy smoke; multisensor data fusion; night; obstacle avoidance; overhead cables; poles; real time aircraft collision; reliability; rotorcraft; snow; terrain features;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Target Tracking and Data Fusion (Digest No: 1996/253), IEE Colloquium on
  • Conference_Location
    Malvern
  • Type

    conf

  • DOI
    10.1049/ic:19961359
  • Filename
    644136