A general framework for road marking detection and analysis

Author

Qin, B. ; Liu, Wenxin ; Shen, Xinyue ; Chong, Z.J. ; Bandyopadhyay, T. ; Ang, M.H. ; Frazzoli, Emilio ; Rus, Daniela

Author_Institution

Nat. Univ. of Singapore, Singapore, Singapore

fYear

2013

fDate

6-9 Oct. 2013

Firstpage

619

Lastpage

625

Abstract

Road markings are paintings on road surface to provide traffic guidance information for vehicles and pedestrians. In this paper, we propose a general framework for road marking detection and analysis, which is able to support various types of markings. Marking contours of different types are extracted indiscriminately from a image processing procedure, and sent to respective modules for independent classification and analysis. Four common types of markings are studied as examples in this paper, including lanes, arrows, zebra-crossings, and words. Our proposed method is tested through experiments, and shows good performance.

Keywords

feature extraction; image classification; object detection; roads; arrow marking; classification; image processing procedure; lane marking; marking contours extraction; road marking analysis; road marking detection; road surface paintings; traffic guidance information; word marking; zebra-crossing marking; Optical character recognition software; Roads;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on

Conference_Location

The Hague

Type

conf

DOI

10.1109/ITSC.2013.6728300

Filename

6728300