中文版 | English
题名

Lane Departure Assessment via Enhanced Single Lane-Marking

作者
通讯作者Chen, Lei; An, Fengwei
发表日期
2022-03-04
DOI
发表期刊
EISSN
1424-8220
卷号22期号:5
摘要

Vision-based Lane departure warning system (LDWS) has been widely used in modern vehicles to improve drivability and safety. In this paper, a novel LDWS with precise positioning is proposed. Calibration strategy is first presented through a 3D camera imaging model with only three parallel and equally spaced lines, where the three angles of rotation for the transformation from the camera coordinate system to the world coordinate system are deduced. Then camera height is calculated compared to the previous works using a measured one with potential errors. A criterion for lane departure warning with only one of the two lane-markings is proposed to estimate both yaw angle and distance between the lane-markings and the vehicle. Experiments show that calibration strategy can be easily set up and achieve an average of 98.95% accuracy on the lane departure assessment.

关键词
相关链接[来源记录]
收录类别
SCI ; EI
语种
英语
学校署名
第一 ; 通讯
资助项目
Science, Technology, and Innovation Commission of Shenzhen Municipality[JSGG20200102162401765]
WOS研究方向
Chemistry ; Engineering ; Instruments & Instrumentation
WOS类目
Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号
WOS:000769168000001
出版者
EI入藏号
20221111774858
EI主题词
3D Modeling ; Cameras ; Road And Street Markings
EI分类号
Roads And Streets:406.2 ; Highway Transportation:432 ; Data Processing And Image Processing:723.2 ; Photographic Equipment:742.2
ESI学科分类
CHEMISTRY
来源库
Web of Science
引用统计
被引频次[WOS]:1
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/313176
专题工学院_深港微电子学院
作者单位
1.Southern Univ Sci & Technol, Sch Microelect, Shenzhen 518055, Peoples R China
2.Hong Kong Polytech Univ, Dept Comp, Hong Kong 999077, Peoples R China
第一作者单位深港微电子学院
通讯作者单位深港微电子学院
第一作者的第一单位深港微电子学院
推荐引用方式
GB/T 7714
Luo, Yiwei,Li, Ping,Shi, Gang,et al. Lane Departure Assessment via Enhanced Single Lane-Marking[J]. SENSORS,2022,22(5).
APA
Luo, Yiwei,Li, Ping,Shi, Gang,Liang, Zuowei,Chen, Lei,&An, Fengwei.(2022).Lane Departure Assessment via Enhanced Single Lane-Marking.SENSORS,22(5).
MLA
Luo, Yiwei,et al."Lane Departure Assessment via Enhanced Single Lane-Marking".SENSORS 22.5(2022).
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