Abstract: With the release of Smart NetworkIng Automotive Technology Roadmap 2.0, it is imperative for the country to vigorously develop intelligent networked vehicles. This paper uses the OpenCV computer vision library in python to complete the recognition of lane line images through a series of operations such as image smoothing and Hof transformation, and finally draws an image that perfectly fits the lane line. This paper has high utilization value for the development of camera-based intelligent cars.

Key words: OpenCV; Hoff change; Lane line

摘要： 随着《智能网联汽车技术路线图 2.0》的发布，国家大力发展智能网联汽车势在必行。文章利用 Python 中 的 OpenCV 计算机视觉库，通过图像平滑处理，霍夫变换等一系列操作，完成对车道线图像的识别，最终绘制生 成完全拟合车道线的图像。文章对于开发基于摄像头的智能车具有较高的利用价值。

关键词: OpenCV；霍夫变换；车道线