• DocumentCode
    2323525
  • Title

    Biologically inspired enhanced vision system (EVS) for aircraft landing guidance

  • Author

    Luk, Chiu Hung ; Gao, Changjian ; Hammerstrom, Dan ; Pavel, Misha ; Kerr, Dick

  • Author_Institution
    OGI Sch. of Sci. & Eng., Oregon Health & Sci. Univ., USA
  • Volume
    3
  • fYear
    2004
  • fDate
    25-29 July 2004
  • Firstpage
    1751
  • Abstract
    A useful enhanced vision system (EVS) for aircraft landing guidance not only has to provide the pilots a reliable image of the scene by fusing several sensor images in real time, but should also give them additional information such as attitude, navigation and hazard signals for safe landing in all weather conditions. Here, a biologically inspired EVS is proposed. The algorithms of the core modules of the systems, namely, the pre-processing and image retrieval are discussed in this paper. A FPGA version of the association network algorithm used in the application is discussed and its performance compared with the PC system.
  • Keywords
    aerospace computing; aircraft landing guidance; computer vision; feature extraction; field programmable gate arrays; image retrieval; sensor fusion; visual databases; FPGA; PC system; aircraft landing guidance; association network algorithm; biologically inspired enhanced vision system; feature extraction; hazard signals; image preprocessing; image retrieval; navigation; sensor fusion; visual databases; Aircraft navigation; Biosensors; Field programmable gate arrays; Hazards; Image retrieval; Image sensors; Layout; Machine vision; Real time systems; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1380871
  • Filename
    1380871