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车道识别过程中搜索车道线的方法
引用本文:毕雁冰,管欣,詹军.车道识别过程中搜索车道线的方法[J].汽车工程,2006,28(5):439-442.
作者姓名:毕雁冰  管欣  詹军
作者单位:吉林大学,汽车动态模拟国家重点实验室,长春,130022
基金项目:国家自然科学基金资助项目(59775027),高等学校骨干教师计划资助项目(GG-580-10183-1995)资助
摘    要:提出了一种在RO I(region of interest)即感兴趣区域中建立搜索窗口的车道识别算法,使其能够很好地处理非理想路况的各种不确定因素,并建立实时动态搜索窗口,除了能精确地追踪车道标志线之外,还能应用于弯路路况。运用LM edSquare曲线拟合算法提高了车道拟合过程的稳健性和精确性。由于RO I的建立,整个识别过程的计算量大大降低,适应实时性要求。

关 键 词:车道偏离预警系统  车道识别  搜索窗口  LMedSquare曲线拟合
收稿时间:2005-04-21
修稿时间:2005-04-212005-09-14

A Method of Mark Line Searching in Lane Detection Process
Bi Yanbing,Guan Xin,Zhan Jun.A Method of Mark Line Searching in Lane Detection Process[J].Automotive Engineering,2006,28(5):439-442.
Authors:Bi Yanbing  Guan Xin  Zhan Jun
Institution:State Key Laboratory of Automobile Dynamic Simulation, Jilin University, Changchun 130022
Abstract:A lane detection algorithm is brought forward, which set searching windows in region of interest(ROI).The algorithm can better deal with the uncertainty factor of road surface,and establish real-time dynamic searching windows.Besides tracking lane mark line more accurately,it can also be applied to curved road conditions.The application of least median square(LmedS) curve fitting algorithm improves the robustness and accuracy of mark line fitting.With the introduction of ROI,the computing effort in searching process can be reduced greatly,so meeting the real-time requirements.
Keywords:Lane departure warning system  Lane detection  Searching windows  LMedS curve fitting
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