期刊文献+

基于反透视变换和Hough变换的车道线检测 被引量:4

Lane detection based on inverse perspective mapping and hough transform
原文传递
导出
摘要 智能车辆研究中,结构化道路环境的检测与识别的一个主要方面就是对路面中的车道线进行检测与识别.道路图像的预处理往往决定着车道线检测识别能力和效率,提出以反透视变换为核心的道路图像预处理方法,并利用Hough变换检测车道线,实验证明,该方法能有效的提取图像中的车道线. In intelligent vehicles research,one major area is the detection of structured road.The preprocessing of road images is the key to the abilities and efficiencies of the lane detection.A road image preprocessing method around Inverse Perspective Mapping is proposed,then,uses Hough Transform to detect lanes in road image. Experiments show the method can extract lanes in road images efficiently.
出处 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2009年第S1期104-108,共5页 Journal of Yunnan University(Natural Sciences Edition)
关键词 反透视变换 HOUGH变换 车道线检测 inverse perspective mapping hough transform lane detection
  • 相关文献

参考文献9

  • 1雷涛,樊养余,王小鹏,王履程.基于形态学结构元素建模的车道线检测算法[J].计算机应用,2009,29(2):440-443. 被引量:21
  • 2赵颖,王书茂,陈兵旗.基于改进Hough变换的公路车道线快速检测算法[J].中国农业大学学报,2006,11(3):104-108. 被引量:33
  • 3耿国华,周明全.常用色彩量化算法的性能分析[J].小型微型计算机系统,1998,19(9):46-49. 被引量:20
  • 4THORPE C,H Moravec,W Whittaker,WALLACE R,et al.First results in robot road following. Proceedings of Int.Joint Conf on Artificial Intelligence . 1985
  • 5Massimo Bertozzi,,Alberto Broggi.Vision-based vehicle guidance. . 1998
  • 6Alberto Broggi.Visual perception and learning in road environments. Intelligent Autonomous Systems . 2000
  • 7MCDONALD J,FRANZ J,SHORTEN R.Selected problems in automated vehicles. NUIM/SS/01/05 .
  • 8Joe P.The need for surveillance in intelligent transportation sys-tem s. Intellimotion . 1997
  • 9Alberto Broggi,Massimo Bertozzi,Alessandra Fascioli.Architectural issues on vision-based automatic vehicle guidance: the experience of the ARGO project. Real Time Imaging . 2000

二级参考文献20

  • 1徐友春,王荣本,李克强,赵玉凡.一种基于直线模型的道路识别算法研究[J].中国图象图形学报(A辑),2004,9(7):858-864. 被引量:42
  • 2耿国华,小型微型计算机系统,1997年,1期
  • 3耿国华,西北大学学报,1996年,4期
  • 4严蔚敏,数据结构,1992年
  • 5黄卫 陈里德.智能运输系统[M].北京:人民交通出版社,1999..
  • 6Kim Z.Real time road detection by learning from one example[J] . Proc IEEE Workshop on Application of Computer Vision, 2005, 20(3) :455-460
  • 7Murphy R R. Sensor and information fusion for improved vision-based vehicle guidance[J]. IEEE Expert, Intelligent System & Their Application, 1998, 13(6) :49-56
  • 8Bertozzi M, Gold A. A parallel real-time stereovision system for generic obstacle and lane detection [J]. IEEE Transactions on Image Processing, 1998, 7(1) : 62-81
  • 9Morizet P. On-board and real-time expert control [J].IEEE Expert on Intelligent System & Their Application,1996, 1(4):71-81
  • 10Thorpe C, Hebert M H. Vision and navigation for the Carnegie-mellon navlab [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1988, 10 (3) :362-373

共引文献70

同被引文献40

  • 1雷涛,樊养余,王小鹏,王履程.基于形态学结构元素建模的车道线检测算法[J].计算机应用,2009,29(2):440-443. 被引量:21
  • 2覃勋辉,马戎,付维平,李岁劳.一种基于梯度的直线段检测算法[J].光子学报,2012,41(2):205-209. 被引量:18
  • 3潘兵,谢惠民,戴福隆.数字图像相关中亚像素位移测量算法的研究[J].力学学报,2007,39(2):245-252. 被引量:88
  • 4Li Min-Xian, Zhao Chun-Xia, Hou Ying-Kun, et al.A new lane line segmentation and detection method based on inverse perspective mapping[J].lnternational Journal of Digital Content Technology and its Applications, 2011,5(4) : 230-236.
  • 5Wu B F,Lin C T,Chen C J.Real-time lane and vehicle detection based on a single camera model[J].lnternational Journal of Computers and Applications,2010,32(2) : 149-159.
  • 6Sadayuki A, Kenji S, Fubito T, et al.Lane marking detection by extracting white regions with predefined width from bird's-eye road images[C]//Proceedings of SP1E-The International Society for Optical Engineering, 2011,7878 : 24-25.
  • 7Bush Forrest N, Esposito Joel M.Vision-based lane detection for an autonomous ground vehicle:A comparative field test[C]// Proceedings of the Annual Southeastern Symposium on System Theory,2010: 35-39.
  • 8Ashok G R,Wesley S, Shepherd P W.Concurrent visual multiple lane detection for autonomous vehicles[C]//Proceedings of IEEE International Conference on Robotics and Automation, May 3-7,2010:2416-2422.
  • 9Lopez A,Serrat J,Canero C,et al.Robust lane markings detection and road geometry computation[J].Intemational Journal of Automotive Technology, 2010,11 ( 3 ) : 395-407.
  • 10Tatsuya K, Kazunori O.Lane detection system for vehicle pla- tooning using multi-information map[C]//Proceedings of IEEE Conference on Intelligent Transportation Systems, 2010: 1350-1356.

引证文献4

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部