CAJ | 학술논문

车道线检测是智能交通系统(Intelligent Transport System,ITS)实现的重要组成部分,文章提出一种在复杂环境中的直弯道检测方法。首先采用带有自适应阈值的横向梯度算子对影像灰度图进行车道线资讯过滤,并采用模糊搜索策略修补过滤后的车道线资讯,提高系统鲁棒性及车道检测的正确率。然后采用滑动 ROI (Region Of Interest)窗口策略统计车道边界资讯图梯度方向角,剔除异常梯度方向角的边界噪音资讯,同时采用影像关联方法减少冗余车道线边界资讯,以减少后续 Hough转换运算量。直线车道部分提出一种快速查表的 Hough转换方法,用于直线侦测；弯道部分引入双曲线对模型,其参数初始值承接于直线车道部分,并通过搜索策略最终确定其k参数,实现弯道部分的侦测。实验表明,此算法在路况复杂的环境中具有较好的鲁棒性,能够实时提供车道资讯信息。
차도선검측시지능교통계통(Intelligent Transport System,ITS)실현적중요조성부분,문장제출일충재복잡배경중적직만도검측방법。수선채용대유자괄응역치적횡향제도산자대영상회도도진행차도선자신과려,병채용모호수색책략수보과려후적차도선자신,제고계통로봉성급차도검측적정학솔。연후채용활동 ROI (Region Of Interest)창구책략통계차도변계자신도제도방향각,척제이상제도방향각적변계조음자신,동시채용영상관련방법감소용여차도선변계자신,이감소후속 Hough전환운산량。직선차도부분제출일충쾌속사표적 Hough전환방법,용우직선정측；만도부분인입쌍곡선대모형,기삼수초시치승접우직선차도부분,병통과수색책략최종학정기k삼수,실현만도부분적정측。실험표명,차산법재로황복잡적배경중구유교호적로봉성,능구실시제공차도자신신식。
Lane detection is an important part of the intelligent transportation system.This paper proposes a method of straight and curve lane detection in complex environment.First of all,the transverse gradient operator with adaptive threshold was utilized to filter the lane information of gray-scale image.Moreover, the filtered lane information was repaired by a fuzzy search strategy,which improved the accuracy of lane detection and system robustness.The sliding ROI(Region Of Interest)strategy,was then used to ac-complish the statistics of abnormal gradient direction angle in the information graph of the lane bounda-ry,meanwhile,image correlation method was utilized to reduce the redundancy of lane boundary infor-mation and the subsequent calculation of Hough conversion method based on rapid tables consulting which was proposed to detect linear lane in the linear lane part.In terms of curve lane part,the hyperbo-la-pair model,whose parameter value was acquired form the linear part and the k parameters were deter-mined through the search strategy,was introduced to detect curve lane.The experiment shows that this algorithm has a preferable robustness in complex road environment and provide real-time lane informa-tion.