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首页> 外文期刊>International journal of computer vision and iImage processing >An Improved Lane Detection and Tracking Method for Lane Departure Warning Systems
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An Improved Lane Detection and Tracking Method for Lane Departure Warning Systems

机译：车道偏离预警系统的一种改进的车道检测与跟踪方法

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摘要

Lane detection and tracking are very crucial treatments in lane departure warning systems as they help the vehicle-mounted system to keep its lane. In this context, the authors 'work aims to develop vision-based lane detection and tracking method to detect and track lane limits in highways and main roads. The authors' contribution focuses on the detection step. By exploiting the fact that, in an image, the road can be formed by linear and curvilinear portions, the authors propose two types of appropriate treatments to detect the lane limits. The authors' method offers high precision rates independently of the painted lane marking's characteristics, of the time of acquisition and in different weather conditions. Besides the challenges it overcomes, the authors 'method has the advantage of operating with a timing complexity that is reasonable for real-time applications. As shown experimentally, compared to three leading methods from the literature, the authors' method has a higher efficiency.
机译：在车道偏离警告系统中，车道检测和跟踪是非常关键的处理方法，因为它们可以帮助车载系统保持车道。在这种情况下，作者的工作旨在开发基于视觉的车道检测和跟踪方法，以检测和跟踪高速公路和主要道路的车道限制。作者的贡献集中在检测步骤。通过利用图像中道路可以由线性和曲线部分形成的事实，作者提出了两种类型的适当处理方法来检测车道界限。作者的方法可提供高精度，而不受涂车道标记的特性，采集时间和不同天气条件的影响。除了可以克服的挑战之外，作者的方法还具有以实时应用合理的定时复杂性进行操作的优势。如实验所示，与文献中的三种领先方法相比，作者的方法具有更高的效率。

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