• DocumentCode
    3223188
  • Title

    Use of artificial living system for pavement distress survey

  • Author

    Zhang, H.G. ; Wang, Q.

  • Author_Institution
    Dept. of Autom. Test & Control, Harbin Inst. of Technol., China
  • Volume
    3
  • fYear
    2004
  • fDate
    2-6 Nov. 2004
  • Firstpage
    2486
  • Abstract
    Automation of pavement surface distress survey is of considerable interest since it facilitates road maintenance. Pavement distress detection algorithm is proposed, which includes preprocessing and artificial life algorithm. In nature, bee population consists of different species of bees. Different species of bees cooperate with others and build combs. The process of building combs is based on a bottom-up structure instead of a top-down centralized controller like expert system and exhibits the emergent properties of bee population. Artificial living system in artificial life algorithm is very similar to bee population. In artificial life algorithm, artificial living system is an artificial population, which is composed of different species of artificial organisms. Artificial living system is based on a bottom-up synthetic approach and exhibits its emergent properties for distress detection. Experimental results demonstrate the proposed method has strong effect on noise removal, oilstains elimination and the rid of dark spots.
  • Keywords
    artificial life; artificial organs; centralised control; living systems; medical expert systems; artificial life algorithm; artificial living system; artificial organisms; artificial population; bee population; bottom-up structure; comb building; expert system; oilstains elimination; pavement distress detection algorithm; pavement distress survey automation; road maintenance; top-down centralized controller; Automatic control; Automatic testing; Classification algorithms; Detection algorithms; Image edge detection; Neural networks; Noise shaping; Organisms; Petroleum; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
  • Print_ISBN
    0-7803-8730-9
  • Type

    conf

  • DOI
    10.1109/IECON.2004.1432191
  • Filename
    1432191