A lane detection and rebuilding method based on machine vision is proposed.
本文提出了一种基于机器视觉的车道检测与重建方法。
A high speed lane detection method that satisfies the safety requirements of outdoor mobile robots was developed based on the segment-line road model and augmented transition networks (ATN).
为了满足室外移动机器人高速安全行驶的要求，提出了一种基于分段直线模型和增强型状态转移网络(atn)的车道识别方法。
A method based on image processing technique to detect lane with lane markings is proposed for driver assistant system.
利用图像处理技术，提出了一种基于车道标线检测的自动车辆驾驶控制方法。
The author establishes prediction method of operating speed based on alignment consistency design of two-lane highway.
笔者从公路线形连续性入手，建立了基于双车道公路线形的运行速度预估模型。
The optimal control laws of 4ws during single lane change are studied using driver model of preview follower method based on the certain vehicle model.
使用单点预瞄驾驶员模型，针对确定性汽车模型探讨了4ws汽车在单移线行驶过程中后轮的最优转向控制规律。
In order to get an ideal lane marks' edge in a road image, this paper USES a method which is based on maximum two-dimension entropy to pick-up lane mark edges.
为了得到比较理想的道路图像中车道标识的边缘，文中采用了基于二维直方图熵最大化的车道标识边缘提取方法。
In order to get an ideal lane marks' edge, an image preprocessing method based on edge distribution function (EDF) was proposed considering the directional characteristics of lane marks.
为了得到较理想的车道标识线的边缘，考虑车道标识线的方向特性，提出一种基于边缘分布函数(EDF)的图像预处理方法。
This paper presents an algorithm combining scan line and region-growing method based on video images analysis, in which lane-marking recognition and driving deviation detection are realized.
为了实时检测到行车偏移信息，提出了一种基于扫描线与区域生长相结合的视频图像分析算法，从而实现了多种道路车道标线和行车偏移的自动检测。
This paper presents an algorithm combining scan line and region-growing method based on video images analysis, in which lane-marking recognition and driving deviation detection are realized.
为了实时检测到行车偏移信息，提出了一种基于扫描线与区域生长相结合的视频图像分析算法，从而实现了多种道路车道标线和行车偏移的自动检测。
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