文章基本信息

标题：A VEHICLE DISTANCE MEASUREMENT BASED ON BINOCULAR STEREO VISION
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作者：ZHIBIN ZHANG ; SHUANGSHUANG LIU ; GANG XU 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：44
期号：2
页码：179-184
出版社：Journal of Theoretical and Applied
摘要：Distance detection is a crucial issue for driver assistance systems and it has to be performed with high reliability to avoid any potential collision with the front vehicle. The vision-based distance detection is regarded promising for this purpose because they require little infrastructure on a highway. In this paper, a distance detection algorithm using stereo vision sensors is developed, in which the license plate feature extraction and its center coordinate obtainment are utilized to match the corresponding pairs of the license plate. And then the 3-D reconstruction equation groups are used to obtain the position parameters of the front vehicle. The proposed distance detection algorithm is tested on a set of images taken in different distances and its performance is verified experimentally.
关键词：Stereo Vision; License Plate; Feature Detection; Epipoplar Constraint; Distance Detection.