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Nighttime lane markings recognition based on Canny detection and Hough transform

机译:夜间车道标记识别基于Canny检测和Hough变换

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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:很难检测显示较暗和不均匀的夜间车道线。为了克服这些问题,提出了一种车道识别方法。首先,使用基于Laplacian的边缘增强来增强预处理图像的边缘。然后,基于OTSU算法的Canny检测到边缘,并且通过Hough变换检测到图像底部的三分之一内的直线。最后,基于斜坡约束提出了内部车道线提取算法。因此,实现了标记内部车道的目的。通过使用各种车道标记进行实验,所提出的算法可以实现检测。此外,该方法可以克服不均匀光的影响,并且能够消除侧车道线,保护导轨等的干扰。车道线路检测有利于在其道路上运行的车辆。

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