摘要
针对车辆在换道过程中易发生碰撞的问题,提出了一种针对车辆侧后方包括盲点区域在内的道路图像的检测算法。该算法对车辆侧后方车道线分为内外两侧进行分析,解决了因摄像机安放位置所产生的感兴趣区域不对称问题。利用基于梯度特征的阴影检测法对接近的车辆进行识别,在此基础上,通过单目视觉测距和两车的几何位置关系计算两车的距离。实验结果表明,该方法可以准确地识别本车后方的车道线和车辆,并且当两车距离在55米以内时,系统可以有效的对车距进行估计。
Aiming at the problems of the vehicle collision that happened in lane changing,a method of detecting the road area behind the vehicle including side blind zone is proposed.The method divides lane marks side-back into two parts inside and outside to research sequentially.Therefore,it solves the problems that the left and right regions of interest（ROI） are dissymmetrical which is caused by the position of the camera.The closing vehicles are identified through shadow detection which is based on the gradient characteristics in the lane area.Based on these,the distance between two vehicles is computed based on their geometrical position and monocular vision.Experiment show that the methods can detect the lane marks and vehicles exactly,meantime the distance between two vehicles is estimated effectively when their real distance was within 55meters.
出处
《计算机工程与设计》
CSCD
北大核心
2010年第12期2800-2803,共4页
Computer Engineering and Design
基金
国家科技支撑计划基金项目(2007BAK35B02)
关键词
换道
盲点区域
感兴趣区域
梯度特征
单目视觉
lane change
side blind zone
regions of interest
gradient characteristics
monocular vision
