Detect_lane_lines_OpenCV-源码

上传者: 42102401 | 上传时间: 2021-05-30 16:48:52 | 文件大小: 69.26MB | 文件类型: ZIP
车道线检测 --- 项目概况 1.1目标 该项目的目标是使用OPENCV(计算机视觉)和Python开发一种算法,该算法可以检测和跟踪视频中的车道边界。该管道是为以下情况而设计的: 查找道路上的线以获得静态图像 在道路上找到视频线 填补道路标记中的任何空隙 用颜色填充线之间的空间 1.2依赖关系 Python 3.x NumPy Matplotlib(用于图表绘制和可视化图像) OpenCV 2.管道 管道中涉及的步骤如下: 2.1格雷&坎尼 将图像转换为灰色 使用Canny获取线条的边缘 2.2作物 使用多边形裁剪图像以获取图像中的道路 2.3添加行 进行霍夫变换 通过计算直线的斜率并取平均值来绘制填充间隙的直线 填补线之间的空白 2.4输出 3.当前管道的潜在缺陷 该算法无法处理尖锐的曲线 该算法不适合处理不良的道路标记和遗漏线 道路眩光不是车道线的一部分会混淆

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