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