A General Framework for Road Marking Detection and Analysis

被引：0
|
作者：
Qin, B. [1 ]
Liu, W. [1 ]
Shen, X. [1 ]
Chong, Z. J. [1 ]
Bandyopadhyay, T. [2 ]
Ang, M. H., Jr. [1 ]
Frazzoli, E. [3 ]
Rus, D. [3 ]
机构：
[1] Natl Univ Singapore, Singapore 117548, Singapore
[2] Singapore MIT, Alliance Res & Technol, Singapore, Singapore
[3] MIT, Cambridge, MA 02139 USA
来源：
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年
基金：
新加坡国家研究基金会;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：619 / 625
页数：7
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