李运生,张名佳

• 1:西安邮电大学自动化学院

摘要(Abstract)：

为了有效地保障汽车驾驶人员及乘车人员的生命财产安全,缓解交通拥堵现象,针对智能交通静态目标的自动识别系统进行研究。利用CCD摄像头采集的公路视频样本,基于先进数字图像处理技术,实现对视频中交通公路静态目标标线的自动检测识别。针对标线形态特点,进行有效的数字图像滤波除噪处理,提出采用累计概率霍夫变换算法对标线进行识别,有效地检测出公路行车标线,实现对视频图像中公路标线的跟踪识别。

关键词(KeyWords)： 智能交通;静态目标;公路标线;自动识别;边缘检测;累计概率霍夫变换

Abstract:

Keywords:

基金项目(Foundation): 陕西省教育厅专项科研计划资助项目(16JK1703)~~

作者(Author): 李运生,张名佳

DOI: 10.16652/j.issn.1004-373x.2018.15.032

参考文献(References)：

• [1]何鹏.我国智能交通系统技术发展现状与展望[J].建筑工程技术与设计,2016,13(5):3377.HE Peng.Present situation and prospect of intelligent transportation system technology in China[J].Building engineering technology and design,2016,13(5):3377.
• [2]潘琪.智能交通:促进城市交通可持续发展的最佳途径[J].综合运输,2010(7):85-89.PAN Qi.Intelligent transportation:the best way to promote the sustainable development of transportation[J].Integrated transport,2010(7):85-89.
• [3]金茂菁.我国智能交通系统技术发展现状及展望[J].交通信息与安全,2012,30(5):1-5.JIN Maojing.The development of intelligent transportation system[J].Traffic information and security,2012,30(5):1-5.
• [4]LI Y,TAKEZAWA H,SUZUKI M,et al.Prediction of fish motion by neural network[C]//The 3rd International Symposium on Autonomous Minirobots for Research and Edutainment.[S.l.]:Springer,2005:217-222.
• [5]徐杰.智能车辆视觉导航中公路边界识别技术的研究[D].长春:吉林大学,2001.XU Jie.Research on highway boundary recognition technology in intelligent vehicle vision navigation[D].Changchun:Jilin University,2001.
• [6]邢艳云.强光照条件下车道标识线识别与跟踪算法研究[D].长春:吉林大学,2006.XING Yanyun.Study on lane mark identification and tracking algorithm under illumination[D].Changchun:Jilin University,2006.
• [7]李业伟.基于感兴趣区域的图像处理算法研究[D].济南:山东师范大学,2012.LI Yewei.Study on image processing algorithms based on the region of interest[D].Jinan:Shandong Normal University,2012.
• [8]李龙光,苏静,韩海伦,等.不同光照条件下二值化技术研究及应用[J].电子世界,2015(20):145-149.LI Longguang,SU Jing,HAN Hailun,et al.Research and application of two value technology under different illumination conditions[J].Electronic world journal,2015(20):145-149.
• [9]杨立敬,刘鑫,朱双东.基于颜色分量补偿的交通标志图像预处理[J].计算机工程与应用,2008,44(36):184-186.YANG Lijing,LIU Xin,ZHU Shuangdong.Traffic sign image preprocessing based on color component compensation[J].Computer engineering and applications,2008,44(36):184-186.
• [10]陈君.滤波技术研究[J].工业控制计算机,2014,27(12):157-158.CHEN Jun.Research on filtering technology[J].Journal of industrial control computer technology,2014,27(12):157-158.
• [11]江莉.基于多尺度空间分析的图像模糊测量方法研究[D].成都:西华大学,2014.JIANG Li.Research on image fuzzy measurement based on multiscale spatial analysis[D].Chengdu:Xihua University,2014.
• [12]李俊生.图像非线性滤波技术的研究[J].常州工学院学报,2005,18(2):21-23.LI Junsheng.Research on image nonlinear filtering technology[J].Journal of Changzhou Institute of Technology,2005,18(2):21-23.
• [13]吕风君.数字图像处理编程入门[M].北京:清华大学出版社,1999.LüFengjun.Introduction to digital image processing programming[M].Beijing:Tsinghua University Press,1999.
• [14]赵吉广.基于视频图像的路面性能参数采集方法研究[D].南京:东南大学,2006.ZHAO Jiguang.Research on the method of pavement performance parameter collection based on video image[D].Nanjing:Southeast University,2006.
• [15]杨喜宁,段建民,高德芝,等.基于改进Hough变换的车道线检测技术[J].计算机测量与控制,2010,18(2):292-294.YANG Xining,DUAN Jianmin,GAO Dezhi,et al.Lane detection technology based on improved Hough transform[J].Computer measurement and control,2010,18(2):292-294.
• [16]YU Zhiding,ZHANG Wende,VIJAYA KUMAR B V K,et al.Structured Hough voting for vision-based highway border detection[C]//2015 IEEE Winter Conference on Applications of Computer Vision.Waikoloa:IEEE,2015:246-253.
• [17]SAYANAN Sivaraman,MOHAN Manubhai Trivedi.Looking at vehicles on the road:a survey of vision-based vehicle detection,tracking,and behavior analysis[J].IEEE transactions on intelligent transportation systems,2013,14(4):1773-1795.
• [18]冯伟兴,贺博.Visual C++数字图像模式识别技术详解[M].北京:机械工业出版社,2013.FENG Weixing,HE Bo.Detailed Visual C++digital image pattern recognition technology[M].Beijing:Mechanical Industry Press,2013.