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A multi-step curved lane detection algorithm based on hyperbola-pair model

机译:一种基于双曲线型模型的多步曲线检测算法

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In this paper, we propose a multi-step algorithm based on a hyperbola-pair model for lane detection. We represent the lane markings on the road by a modified hyperbola-pair model, which contains two parts. The first one is a parallel straight line model, which is achieved by Hough transform. The second one is a hyperbola-pair line model, which is achieved by a searching strategy with the parameters got in the first stage as initial parameters. Experiment results show a robust performance in a noise condition, such as part of the lane markings are occupied by other vehicles in the lanes. The algorithm can provide accurate information of location and curvature of the lane markings in real-time.
机译:在本文中,我们提出了一种基于双曲面型模型的多步算法进行车道检测。我们通过改进的双曲线对模型代表道路上的车道标记,其中包含两部分。第一个是平行的直线模型,通过Hough变换实现。第二个是一种双曲线对线模型,它通过与参数的搜索策略在第一阶段作为初始参数来实现。实验结果在噪声条件下表现出稳健的性能,例如车道标记的一部分被车道中的其他车辆占据。该算法可以实时提供机道标记的位置和曲率的准确信息。

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