李策;康敬欣;曾德斌;
LI Ce;KANG Jingxin;ZENG Debin;School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology;Iyasaka (Beijing) Transportation Technology Co., Ltd;

• 1:北京化工大学机电工程学院
• 2:弥荣(北京)交通科技有限公司

摘要(Abstract)：

针对汽车远光灯发光强度检测效率低、准确性不高等问题,本文提出了结合计算机视觉技术将图像灰度与曝光时间的比值与远光灯标准发光强度进行拟合的方法。为了保证标定过程中获取稳定的图像灰度值和曝光时间,本文还设计了一种根据目标灰度自动调节CCD相机曝光时间的控制算法,并结合数字图像处理技术与卡尔曼滤波器算法,实现了在动态检测过程中,图像灰度值和曝光时间等数据的稳定输出,从而能够准确地进行发光强度标定。最后将标定结果进行函数拟合,并利用拟合结果对不同发光强度的远光灯进行检测实验。结果表明:该方法拟合效果好、测量误差小、具有很强的鲁棒性。
Aiming at the low efficiency and low accuracy of automobile high beam luminous intensity detection, in this paper a method was proposed which combines machine vision technology to fit the ratio of image gray scale and exposure time to the standard luminous intensity of high beam headlight. In order to ensure a stable image gray value and exposure time during the calibration process a control algorithm was designed which automatically adjusts the exposure time of the CCD camera according to the target gray level. Then combined with digital image processing technology and Kalman filter algorithm, the stable output of data such as image gray value and exposure time during the dynamic detection process was realized, so as to ensure the accurate calibration of luminous intensity. Finally, the calibration results were fitted to the function, and the results of the fitting were used to test the high beam headlights with different luminous intensities. The results show that the method has good fitting effect, small measurement error and strong robustness.

关键词(KeyWords)： 远光灯;发光强度;CCD;数字图像处理;卡尔曼滤波器
high beam;luminous intensity;CCD;digital image processing;Kalman filter

Abstract:

Keywords:

基金项目(Foundation):

作者(Authors): 李策;康敬欣;曾德斌;
LI Ce;KANG Jingxin;ZENG Debin;School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology;Iyasaka (Beijing) Transportation Technology Co., Ltd;

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