基于感兴趣区域模型的车道线快速检测算法  

Fast Lane Detection Algorithm Based on Region of Interest Model

作　　者：钱基德[1,2] 陈斌 钱基业 陈刚 QIAN Ji-de;CHEN Bin;QIAN Ji-ye;and CHEN Gang(Chengdu Institute of Computer Application, Chinese Academy of Sciences Chengdu 610041;Guangzhou Institute of Electronic Technology, Chinese Academy of Sciences Guangzhou 510070;State Grid Chongqing Electric Power Co. Electric Power Research Institute Jiangbei Chongqing 401123;University of Chinese Academy Sciences Shijingshan Beijing 100049)

机构地区：[1]中国科学院成都计算机应用研究所,成都610041 [2]中国科学院大学,北京石景山区100049 [3]中国科学院广州电子技术研究所,广州510070 [4]国网重庆市电力公司电力科学研究院,重庆江北区401123

出　　处：《电子科技大学学报》2018年第3期356-361,共6页Journal of University of Electronic Science and Technology of China

基　　金：广东省产学研合作项目(2017B090901040); 广东省重大科技专项(2017B030306017); 四川省科技厅科技成果转化项目(2014CC0043); 重庆市博士后科研项目特别资助项目(Xm2016060)

摘　　要：为满足智能车载视频取证设备对车辆违章行为取证时检测车道线准确性和时效性的要求,提出一种基于感兴趣区域模型的结构化道路车道线的快速检测算法。该算法首先基于结构化道路具有车道线与路面对比度高的特点,采用Soberx边缘检测算子检测车道的边缘信息,然后在感兴趣区域模型基础上,采用改进的Hough变换检测出可能的车道线。为准确提取车道线完成车道的准确检测,该算法基于透视图像消失点原理,采用逆透视变换消除伪车道线完成车道准确定位。实验表明,该算法定位精度高、快速快、鲁棒性好,能够满足高速公路智能车载视频设备取证的性能要求。In order to meet the requirements of the accuracy and timeliness of lane detection in intelligent vehicle video forensics equipment for vehicle violation behavior forensics, a fast lane detection algorithm based on region of interest（ROI） model is proposed. Firstly, the edge detection operator is used to detect the lane edge information based on the characteristic that the lane and road have high contrast. Then the improved Hough transform is used to detect the possible lane based on the region of interest model. In order to extract the lane accurately, the algorithm is based on the vanishing point principle of the perspective image, and uses the inverse perspective transformation to eliminate the pseudo lane and complete the lane accurate positioning. Experiments show that the algorithm has the advantages of high positioning accuracy, high speed, and good robustness, which can meet the performance requirements of highway intelligent vehicle video equipment forensics.

关 键 词：HOUGH变换 车道线检测 感兴趣区域 结构化道路 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]