基于优化Prewitt的高速夜间车道检测算法  

Nighttime Lane Detection of the Highway Based on Improved Prewitt

作　　者：黄海港[1] 沈永增[1] 闫纪如[1] 

机构地区：[1]浙江工业大学信息工程学院,杭州310023

出　　处：《计算机系统应用》2013年第8期109-112,共4页Computer Systems & Applications

基　　金：2012年度浙江省大学生科技创新活动计划(2012R403069)

摘　　要：针对夜间高速公路,提出识别车道标志线的新型检测算法.该算法采用改进的中值法滤波,基于光密度差的4方向模板对数Prewitt边缘检测预处理图像,得到二值化阈值T.ROI和左右车道线的确定大大减少运算量,结合车道线宽度去除伪车道,采用临时轨迹策略排除光线变化和前方车辆的干扰,最后得到完整清晰的车道线.实验证明该车道检测方法具有快速性、稳定性、准确性.This study introduces a novel detection algorithm to recognize the lane markers on the highway at night. The proposed algorithm utilizes adapted median filtering and edged detection of the four direction template logarithmic Prewitt based on the difference of luminous density. It gives the threshold of binaryzation. Determine the ROI and sides lane line, so greatly reduce the amount of computation. We use lane marking width and temporal trajectory strategy to remove false lanes caused by lighting change, and vehicle occlusions. Finally we get complete clear lane line. The proposed method is proved to be fast, stability and accuracy.

关 键 词：中值法滤波 对数Prewitt 二值化阈值 临时轨迹策略 车道检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]