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 | |
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]
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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).
|
条目包含的文件 | 条目无相关文件。 |
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