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
Link To Document :
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