A general framework for road marking detection and analysis

Please use this identifier to cite or link to this item: https://doi.org/10.1109/ITSC.2013.6728300

Title:	A general framework for road marking detection and analysis
Authors:	Qin, B. Liu, W. Shen, X. Chong, Z.J. Bandyopadhyay, T. Ang Jr., M.H. Frazzoli, E. Rus, D.
Issue Date:	2013
Citation:	Qin, B.,Liu, W.,Shen, X.,Chong, Z.J.,Bandyopadhyay, T.,Ang Jr., M.H.,Frazzoli, E.,Rus, D. (2013). A general framework for road marking detection and analysis. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC : 619-625. ScholarBank@NUS Repository. https://doi.org/10.1109/ITSC.2013.6728300
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. © 2013 IEEE.
Source Title:	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
URI:	http://scholarbank.nus.edu.sg/handle/10635/85852
ISBN:	9781479929146
DOI:	10.1109/ITSC.2013.6728300
Appears in Collections:	Staff Publications

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