摘要
汽车安全车距测量作为智能交通系统的一个重要分支是近年来的研究热点.本文阐述了双目立体视觉的原理,提出一种应用于高速公路上的安全车距测量方法.该方法根据目标车辆在左右摄像头所获的图像中对应的不同坐标,利用公垂线中点法计算出目标车辆到摄像头的距离.实验结果表明:该测距方法测量范围广,对远距离测量也适用;测量精度能满足智能交通中车辆安全距离测量的实际需要,是一种有效的前方车距测量方法.
As one of the research topics of intelligent transportation systems （ITS）, systems for early-warning against collision have drawn much attention in recent years. Based on the principle of binocular stereovision, a spacing measurement program for security vehicles on the expressway was proposed. According to the coordinates corresponding to two binocular images of the target vehicle obtained by the left and right cameras, the distance between the target vehicle and the camera could be calculated by employing the common perpendicular midpoint method. The results show that this measurement program can measure a wide range of distance and can also be applied to re-mote distances. The high precision can meet the needs of intelligent transportation vehicles in a security vehicles spacing survey, which is an effective way for measuring the front car distance.
出处
《智能系统学报》
2011年第1期79-84,共6页
CAAI Transactions on Intelligent Systems
基金
美国德州仪器大学计划创新基金资助项目
南京航空航天大学研究生创新基地资助项目(20090907)
关键词
智能交通
安全车距
双目立体视觉
公垂线中点法
intelligent transportation
vehicle distance
binocular stereovision
common perpendicular midpoint
