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Automatic camera calibration method based on dashed lines

机译:基于虚线的相机自动校准方法

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We present a new method for full-automatic calibration of traffic cameras using the end points on dashed lines. Our approach uses the improved RANSAC method with the help of pixels transverse projection to detect the dashed lines and end points on them. Then combining analysis of the geometric relationship between the camera and road coordinate systems, we construct a road model to fit the end points. Finally using two-dimension calibration method we can convert pixels in image to meters along the ground truth lane. On a large number of experiments exhibiting a variety of conditions, our approach performs well, achieving less than 5% error in measuring test lengths in all cases.
机译:我们提出了一种使用虚线端点对交通摄像机进行全自动校准的新方法。我们的方法在像素横向投影的帮助下使用改进的RANSAC方法来检测虚线和端点。然后结合对摄像机和道路坐标系之间的几何关系的分析,我们构建了一个适合端点的道路模型。最后,使用二维校准方法,我们可以沿着地面真实车道将图像中的像素转换为米。在大量展示各种条件的实验中,我们的方法表现良好,在所有情况下,测量测试长度的误差均小于5%。

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