Title :
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
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;
Conference_Titel :
Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
Conference_Location :
The Hague
DOI :
10.1109/ITSC.2013.6728300
