随着我国经济和技术的高速发展,越来越多的智能技术在汽车行业得到应用。而“自动驾驶”是21世纪的汽车行业需要共同突破的技术难关。以教育部举办的“飞思卡尔”智能汽车大赛为背景,主要对智能汽车的核心部分—路径图像处理进行研究,包括路径图像采集,路径图像二值化和路径图像去噪,最终实现路径自动识别。 With the rapid development of economy and technology in our country, more and more intelligent technologies are applied in the automotive industry. And “autopilot ” is the 21st century automobile industry need common breakthrough technical difficulties. Based on the “Freescale” smart car competition held by the Ministry of Education, this paper mainly studies the path image processing, which is the core part of intelligent vehicles, including path image acquisition, binarization of path image and denoising of path image. Finally, Automatic path identification.