DocumentCode :
624575
Title :
Comparison of several lane marking line recognition methods
Author :
Haitao Ding ; Bowei Zou ; Konghui Guo ; Cong Chen
Author_Institution :
State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
fYear :
2013
fDate :
9-11 June 2013
Firstpage :
53
Lastpage :
58
Abstract :
This paper introduces the theory of algorithm results of different image processing techniques in lane marking line recognition, including binarize, edge detection and lane extraction. Analyze and compare the accuracy of the each stages of processing algorithms, reliability and real - time performance. And then compare the various combinations of algorithms to detect lane marking lines in several conditions. Finally, an ideal detection algorithm is proposed, which using progressive threshold method to binarize, the contour extraction method, lane edge tracing and curve fitting method.
Keywords :
curve fitting; edge detection; feature extraction; object recognition; traffic engineering computing; binarize; contour extraction method; curve fitting method; edge detection; image processing techniques; lane edge tracing; lane extraction; lane marking line recognition methods; progressive threshold method; Image edge detection; Laplace equations; Mathematical model; Noise; Real-time systems; Roads; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-6248-1
Type :
conf
DOI :
10.1109/ICICIP.2013.6568039
Filename :
6568039
Link To Document :
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