摘要
文章提出了一种基于双目摄像头的路面障碍物检测与研究,通过两个CCD摄像机对路面进行拍摄,采集路面信息。用Matlab对收集到的图像进行预处理包括灰度化,截取有效值等处理,并通过Hough变换提取感兴趣区域,通过图像熵值对障碍物进行检测,利用Kalman滤波对目标障碍物进行跟踪。这种检测方法能够更准确快速地检测出路面障碍物。经过实验判断,该方法具有良好的实用性和鲁棒性。
This paper proposes an algorithm of road obstacles based on Kalman algorithm. Two CCD cameras are used to photograph the road surface and collect road information. Matlab is used to preprocess the collected images, including grayscale, interception of RMS, and extraction of regions of interest by Hough transform. Detection of obstacles by entropy of image. Kalman flter is used to track the target obstacles. This method can detect obstacles more quickly and accurately. The experiment shows that the method has good practicability and robustness.
作者
顾晨晨
王震洲
Gu Chenchen;Wang Zhenzhou(School of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050018,China)
出处
《无线互联科技》
2018年第19期35-36,共2页
Wireless Internet Technology
