设计了一种基于双车道的结构模板及其模板匹配度函数，并将它用于单摄像机跟踪高速公路的道路标志线。
Projected a kind of template and its evaluation function based on the double-lane structure, which were used to follow the marking line by monocular camera on the highway.
首先把图像序列中相对静止的部分提取出来作为背景，利用差分图像对道路上的运动物体进行分割，并在此基础上实现对每条车道上的车辆的跟踪。
Firstly the relatively static proportion of the video was extracted and the moving objects were segmented using differencing image algorithm. Then vehicles were tracked in divided road lanes.
针对道路边界的形状特征提出的二次曲线道路边界模型，实现了对车道标识线的实时跟踪。
Conic section road border model put forward to the form characteristic of the border of road, the ones that have realized to identification line of lane which are followed in real time.
为提高高速公路上车道线识别的快速性和鲁棒性，提出了一种有效的车道线检测与跟踪方法。
An efficient method of lane detection and tracking is proposed to improve robustness and efficiency of lane recognition of highway.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
提出了一种针对高速公路的车道线检测与跟踪方法。
A method of lane detection and tracking for highway is proposed.
提出了一种针对高速公路的车道线检测与跟踪方法。
A method of lane detection and tracking for highway is proposed.
应用推荐