A fast and stable lane detection method based on B-spline curve

Author

Xu, Huarong ; Wang, Xiaodong ; Huang, Hongwu ; Wu, Keshou ; Fang, Qiu

Author_Institution

Dept. of Phys., Xiamen Univ., Xiamen, China

fYear

2009

fDate

26-29 Nov. 2009

Firstpage

1036

Lastpage

1040

Abstract

A new structure road detection algorithm based on open uniform B-spline curve model is proposed. Firstly, Canny edge detection algorithm is used to extract the road edge. Then road markings are gotten from the edge map by the least square method. Lastly, the road model (B-spline model) is fitted after the central points of the road are gotten from the lane markings. In order to accurate the position of the road bend, the algorithm introduces the maximum deviation of position shift (MDPS) method to search control points. A large number of experiments show that the algorithm is fast, stable, and flexible. It is able to meet the requirements of intelligent navigation.

Keywords

edge detection; least squares approximations; object detection; splines (mathematics); traffic engineering computing; Canny edge detection algorithm; least square method; maximum deviation; position shift; stable lane detection method; structure road detection algorithm; uniform B-spline curve model; Computer science; Detection algorithms; Educational institutions; Image edge detection; Least squares methods; Navigation; Partitioning algorithms; Physics; Roads; Spline; Canny edge detection; Least square method; Open Uniform B-Spline; Road detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on

Conference_Location

Wenzhou

Print_ISBN

978-1-4244-5266-8

Electronic_ISBN

978-1-4244-5268-2

Type

conf

DOI

10.1109/CAIDCD.2009.5375392

Filename

5375392