Road Markers Recognition Based on Shape Information

Author

Li, Yunchong ; He, Kezhong ; Jia, Peifa

Author_Institution

Tsinghua Univ., Beijing

fYear

2007

fDate

13-15 June 2007

Firstpage

117

Lastpage

122

Abstract

Road information understanding is a necessary task for intelligent vehicles and driver assistance systems. Previous research mostly focused on the detection and estimation of lane position. Other information provided by road markers was scarcely mentioned. We propose a shape-based road marker detection and recognition method in this paper. The 8-neighbor chain codes of close regions are abstracted from the plane image. Selected moment features and an improved minimal-error-rate classifier are utilized to recognized different lane markers and other road markers. The lengths and slopes of lane markers are fast calculated also using the moment features. The results show that the method can detect and recognize road markers effectively.

Keywords

automated highways; image classification; driver assistance systems; intelligent vehicles; minimal-error-rate classifier; road information; shape information; shape-based road marker detection; shape-based road marker recognition; Cameras; Helium; Image generation; Intelligent systems; Intelligent vehicles; Laboratories; Pattern matching; Roads; Shape; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2007 IEEE

Conference_Location

Istanbul

ISSN

1931-0587

Print_ISBN

1-4244-1067-3

Electronic_ISBN

1931-0587

Type

conf

DOI

10.1109/IVS.2007.4290101

Filename

4290101