面向无人驾驶车感知系统的自动曝光方法  

Auto Exposure Algorithm for Perception System of Intelligent Vehicle

作　　者：谷明琴[1] 蔡自兴[1] 易亮[1] 

机构地区：[1]中南大学信息科学与工程学院长沙410083

出　　处：《计算机科学》2013年第6期300-302,307,共4页Computer Science

基　　金：国家自然科学基金项目(90820302,60805027);国家博士点基金项目(200805330005);湖南省院士基金项目(20010FJ4030)资助

摘　　要：为了采集清晰且稳定的图像,提出了一种相机自动曝光方法。首先在初始帧图像中检测交通标志,根据交通标志的检测结果,在划分的9个区域中确定感兴趣区域。利用HSV颜色空间中V分量直方图来准确判断图像的曝光情况,并依据感兴趣区域的位置和曝光情况来选择权值矩阵。最后利用灰度值方法获取下一帧图像的曝光时间,完成车载相机的自动曝光。实验结果表明该方法能够快速、有效地完成相机的自动曝光,并对逆光和背光具有一定的适应性。In order to obtain non-dim and stable images, this paper proposed an automatic exposure algorithm of camera. Firstly,traffic signs are detected in the first frames image, and Region of Interest（RoD is determined in 9 fixed parti- tions according to the results of traffic sign detection. Then the exposure situation is accurately judged by the histogram of V component in HSV color space, and weight matrix is selected according to the location of the interested region and exposure situation. Lastly, the exposure time of next frame image is got using gray value method, and the camera＇s auto- matic exposure is completed. The experimental results show that this method can quickly and effectively complete auto- matic exposure, and is adaptable for the backlight and backlit cases.

关 键 词：自动曝光 无人驾驶车 亮度图像 曝光时间 直方图 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]