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Nighttime lane markings recognition based on Canny detection and Hough transform

机译:基于Canny检测和霍夫变换的夜间车道标志识别

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It is difficult to detect the nighttime lane lines which showed darker and uneven lighted. In order to overcome these problems, a lane recognition method was proposed. Firstly, edge enhancement based on Laplacian was used to enhance the pre-processing image's edges. Then, the edges were detected by Canny based on Otsu algorithm and the straight lines which within the one third at bottom of image were detected by Hough transform. Finally, an inside lane line extraction algorithm was proposed on the basis of slope constraint. Thereby, the aim of marking the inside lane was realized. By experimenting with various lane markers, the proposed algorithm can realize the detection. Moreover, the approach can overcome the influence of uneven light and be able to eliminate the interference from the side lane line, guard rail, etc. Lane line detection is conducive to the vehicle running on its road.
机译:很难检测到夜间车道线显示出较暗和不均匀的照明。为了克服这些问题,提出了一种车道识别方法。首先,基于拉普拉斯算子的边缘增强被用于增强预处理图像的边缘。然后,通过基于Otsu算法的Canny检测边缘,并通过Hough变换检测图像底部三分之一处的直线。最后提出了一种基于边坡约束的车道内线提取算法。由此,实现了标记内侧车道的目的。通过试验各种车道标记,该算法可以实现检测。而且,该方法可以克服光线不均匀的影响,并且能够消除来自侧车道线,护栏等的干扰。车道线检测有利于在其道路上行驶的车辆。

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