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A robust and real-time road line extraction algorithm using hough transform in intelligent transportation system application

机译:基于霍夫变换的鲁棒实时道路线提取算法在智能交通系统中的应用

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Since lane information is needed for road security improvement in driver assistance system (DAS), first basic step for this system is extraction of road marking. This paper presents a method to detect and extract of road lines to use in intelligent transportation system (ITS). This method is based on Hough transform concluding of three main phase: preprocessing, segmentation, post processing. The advantage of this method is overcome of existence problems such as noise, clear of road marking. This algorithm is implemented on real road scenes in video sequences taken by stationary traffic cameras. Experimental results demonstrate high accuracy of proposed algorithm as compared with classic method.
机译:由于在驾驶员辅助系统(DAS)中改善道路安全需要车道信息,因此该系统的第一步是提取道路标记。本文提出了一种用于智能交通运输系统(ITS)的道路线检测和提取方法。该方法基于霍夫变换,包括三个主要阶段:预处理,分割,后处理。该方法的优点是克服了诸如噪音,没有道路标记的存在问题。该算法在固定交通摄像机拍摄的视频序列中的真实道路场景上实现。实验结果表明,与经典算法相比,该算法具有较高的准确性。

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