• DocumentCode
    1647122
  • Title

    Driving environmental change detection subsystem in a vision-based driver assistance system

  • Author

    Fang, Chiung-Yao ; Fuh, Chiou-Shann ; Chen, Sei-Wang

  • Author_Institution
    Dept. of Inf. & Comput. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan
  • Volume
    1
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    624
  • Lastpage
    629
  • Abstract
    We propose a computational model motivated by human cognitive processes for detecting changes of driving environments. The model consists of three major components: sensory, perceptual, and conceptual components. The proposed computational model is used as the underlying framework in which a system for detecting changes of driving environments is developed
  • Keywords
    driver information systems; feature extraction; image sequences; learning (artificial intelligence); multilayer perceptrons; video signal processing; computational model; conceptual component; driving environmental change detection subsystem; human cognitive processes; perceptual component; sensory component; vision-based driver assistance system; Biological neural networks; Computational modeling; Computer science; Computer science education; Computer vision; Focusing; Humans; Information analysis; Neurons; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1005544
  • Filename
    1005544