传统的Hough变换检测方法由于计算量大、实时性差以及受图像噪声影响较大等缺点, 不能较为准确地进行实际道路的检测。鉴于此, 提出了一种改进的基于Hough变换的道路图像检测方法。该方法在对实际道路形态建模分析的基础上, 针对有/无路面标识以及存在其他干扰因素的结构化道路, 均能有效剔除实际道路图像中的干扰因素并准确检测出道路边缘, 且检测时间均在200 ms以内。

Traditional Hough transform has large amount of calculation, is poor real-time, and easily influenced by image noise, so the road detection using it cannot achieve good effect. Consequently, an improved algorithm for road detection based on Hough transform was presented. Based on the analysis of the actual road shape modeling, the algorithm can effectively remove the error message of actual road with / without signs or any other interfering factors, and can achieve better effect of road detection within 200 ms.