摘要
针对长时间驾驶疲劳、注意力涣散、行车偏移等问题,提出了一种基于机器视觉的车道保持辅助系统。利用透视变换将道路区域转换为俯瞰模式,通过颜色特征和通道分离技术提取出大致车道线区域,使用线性拟合确定车道线的准确信息,并计算出车辆在车道线间的位置和车道线曲率,为安全行驶提供一定参考作用。
Aiming at the problems of driving fatigue,lack of attention and driving deviation,a lane maintenance assistant system based on machine vision is proposed.The warp transformation is used to convert the road area into the overlooking mode,the color feature and channel separation technology are used to extract the general lane line area,The linear fitting is used to determine the exact information of the lane line,the vehicle position between lane line and line curvature are calculated,and a reference role is provided for safe driving.
作者
赵文明
张海文
Zhao Wenming;Zhang Haiwen(College of Mechanical and Electrical Engineering,Guilin University of Electronic Technology,Guilin Guangxi 541004)
出处
《数字技术与应用》
2017年第11期63-64,共2页
Digital Technology & Application
基金
广西科技开发攻关项目(桂科攻:14122007-1)
广西教育厅项目(2015JGA202)
创新项目(2016YJCX107)
关键词
车道保持
仿射变换
线性拟合
Lane keeping
Affine transformation
Linear fitting
