算法加入了车道线检测失效判别模块，以提高检测的可靠性；
A judgment module that is responsible for estimating tracking results was used to improve the reliability.
提出了一种可满足室外移动机器人高速行驶要求的车道线检测识别方法。
This paper presents a lane recognition method which can satisfy the high-speed requirement of outdoor mobile robots.
在智能车辆的视觉导航系统中，车道线的检测有极其重要的作用，车道线的检测对于自主驾驶安全是不可忽视的。
The road line detection is very important in vision navigation system of intelligent vehicle. The lane line detection should not be ignored in independence navigation.
车辆的检测基于车道，在每个车道设置两条虚拟检测线来检测交通流参数，虚拟检测线的作用类似于电磁感应线圈。
The vehicle detection is based on the roadway, which sets two virtual lines, like the inductive loop sensor, to detect their traffic flow parameters.
车辆的检测基于车道，在每个车道设置两条虚拟检测线来检测交通流参数，虚拟检测线的作用类似于电磁感应线圈。
The vehicle detection is per-formed along lanes, on which two virtual lines are drawn to help detect traffic flow parameters like inductive loop sensors.
讨论了车道标志线的描述方法，详细论述了车道图像的检测算法，并对实验效果进行了讨论与分析。
The lane model is described, and the detecting algorithm of lane image is discussed in detail. The recognition results are given and analyzed in the end.
讨论了车道标志线的描述方法，详细论述了车道图像的检测算法，并对实验效果进行了讨论与分析。
The lane model is described, and the detecting algorithm of lane image is discussed in detail. The recognition results are given and analyzed in the end.
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