• DocumentCode
    3637307
  • Title

    A line of sight algorithm using fuzzy measures

  • Author

    Tanja Magoˇ;Ari Kassin;Rodrigo Romero

  • Author_Institution
    Department of Computer Science, University of Texas at El Paso, El Paso, TX 79968
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A line of sight algorithm is an important tool in determining visibility of target points from an observer point. This method has found applications in real life problems such as urban planning, combat missions, and computer graphics simulations. Even though different line of sight algorithms have been developed for these purposes, they mostly rely only on the elevation of the terrain and are not extendable to consideration of other criteria. In this paper, we develop a new line of sight algorithm that allows numerous criteria to be considered when determining visibility of a point from another point. The novel line of sight algorithm uses fuzzy integration to take into consideration dependencies among numerous criteria considered.
  • Keywords
    "Sun","Geographic Information Systems","Roads","Information analysis","Algorithm design and analysis","Computer vision","Urban planning","Computer simulation","Performance analysis","Metalworking machines"
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
  • Print_ISBN
    978-1-4244-7859-0
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2010.5548292
  • Filename
    5548292