Real Time Vision Based Road Lane Detection and Tracking
Real Time Vision Based Road Lane Detection and Tracking
复制标题
基于实时视觉的道路车道检测和跟踪
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
F. Chausse
中科院分区：
文献类型：
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作者：
R. Aufrère;R. Chapuis;F. Chausse
考虑到这些不同的意见，我们的方法由四个模块组成：在本文中，我们描述了一种新的方法 deA 识别阶段，允许准确地检测和跟踪车辆的道路车道，挖掘图像中道路两侧的位置。配备单目单色相机。此阶段基于对站点的开发。这项工作的目标是协助售票员建立车道的统计模型。轨迹监督和控制的框架该方法适用于标记和非控制。所描述的工作涉及标记道路图像的检测。此步骤根据 [I] 中的利用更精确地描述了图像中的路边。车道统计模型、车辆在车道上的定位以及车道数量的管理。这里介绍的方法已在我们的实验车辆 VELAC 上实施。获得的结果显示了所提出方法的鲁棒性和精度。
Taking into account these various remarks, our method is composed of four modules: In this article, we describe a new method deA recognition phase allows to accurately detersigned to detect and track the road lane of a vehicle mine the position of the road sides in the image. equipped with a monocular monochromatic camera. This phase is based on the exploitation of a staThe goal of this work is to assist the conductor in tistical model of the lane. the framework of a trajectory supervision and conThe method is applied both on marked and nottrol. The work described concerns the detection of marked roads images. This step is described the roadsides in the image based on the exploitation more precisely in [I]. of a statistical model of the lanes, the localisation of the vehicle on its lane and the management of the number of lanes. The method presented here has been implemented on our experimental vehicle VELAC. Results obtained show the robustness and the precision of the proposed approach.