摘要
路径识别是汽车智能化发展的必然趋势。在基于飞思卡尔单片机的智能车路径识别系统的设计中,首先采用基于黑白摄像头的图像采样模块获取路径图像信息;然后分别说明图像采集,图像预处理,黑线提取,路径判断部分的软件设计。其中,在图像预处理中使用了二值化和中值滤波算法,并且在黑线提取中提出了改进插值算法。实验表明,整个系统硬件设计简单,软件算法快速有效。
Intelligentize of vehicle is a trend of cars＇ development in the future. Path recognition is one of the application directions. This path recognition system of intelligent car uses image - sensor module based on camera to obtain lane image information. The whole system is divided into four parts： image acquisition, image pre - processing, abstracting the black line, and road detection. The image pre - processing part uses the binaryzation and the median filtering to improve the image information. Then by using the improved algorithm, the result of abstracting the black line becomes more precise. The ultimate aim of the whole system is to accurately abstract the black guidelines from the white raceway, following the road parameters and conditions in front, making the car move properly.
出处
《信息技术与信息化》
2009年第2期42-45,共4页
Information Technology and Informatization
基金
山东省自然科学基金(Y2007G20)
关键词
路径识别
中值滤波
寻线算法
Road detection Median filtering Line -tracking
