期刊文献+

基于踢脚线的结构化环境单目视觉导航

A monocular vision navigation algorithm based on skirting lines
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摘要 针对室内结构化环境下的导航任务,提出一种以踢脚线为参考直线的基于单目视觉的导航算法。利用单目摄像头提取图像,运用Canny边缘检测方法和霍夫变换相结合的边缘检测算法提取结构化环境中的踢脚线,根据平行直线在图像平面的成像原理,提取出参考直线和偏航角作为导航信息,实时控制小车的运动。试验结果显示,基于该方法设计的小车可以实现安全行驶,该方法获取的导航参数受光照的影响不大,稳定可靠,能满足安全性和实时性的要求。 To achieve vision navigation task in structured indoor environments,a monocular vision algorithm is proposes based on skirting lines.By using Canny edge detection algorithm and Hough transform to detect skirting lines in structured indoor environments,and using parallel lines' forming principle on image plane,analyzing the lines' parameters to locate the mobile robot gathering reference data in lines and yaw angle,the robot control in time is achieved.Experiments show that this algorithm can realize robot's safety traffic and less impact by light,it could plan a safe and real time local path to navigate the robot.
出处 《西安邮电学院学报》 2012年第1期75-78,共4页 Journal of Xi'an Institute of Posts and Telecommunications
关键词 视觉导航 单目视觉 霍夫变换 边缘提取 vision navigation monocular camera Hough transform edge detect
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参考文献12

  • 1陈勇,黄琦,刘霞,张昌华.一种全天候驾驶员疲劳检测方法研究[J].仪器仪表学报,2009,30(3):636-640. 被引量:25
  • 2董春利,董育宁,刘杰.基于粒子滤波和GVF-Snake的目标跟踪算法[J].仪器仪表学报,2009,30(4):828-833. 被引量:33
  • 3Kwolek B.Visual odometry based on gabor filters andsparse bundle adjustment[C] //Proc.of ICRA,2007:3573-3578.
  • 4Pomerleau D.Neural network vision for robot driving[C] //the Handbook of Brain Theory and Neural Net-works.Cambridge:MIT Press,1995:161-181.
  • 5Li Shuang,Cui Pingyuan,Cui Hutao.Vision-aided in-ertial navigation for pinpoint planetary landing[J].Aerospace Science and Technology,2007,11(6):499-506.
  • 6Kidono K,Miura J,Shirai Y.Autonomous visual nav-igation of a mobile Robot using a human-guided experi-ence[J].Robotics and Autonomous Systems,2002,40(2/3):121-130.
  • 7Royer P,Lhuillier P,Dhomem P,et al.Monocularvision for mobile robot localization and autonomousnavigation[J].International Journal of Computer Vi-sion,2007,74(3):237-260.
  • 8Pears N,Liang B J.Ground plane segmentation formobile robot visual navigation[C] //Proceedings of the2001IEEE/RJS International Conference on Intelli-gent Robots and Systems.Piscataway,NJ,UnitedStates:IEEE,2001:1513-1518.
  • 9Liang B J,Pears N.Visual navigation using planar ho-mographies[C] //2002IEEE International Conferenceon Robotics and Automation.Piscataway,NJ,UnitedStates:IEEE,2002:205-210.
  • 10邓剑文,安向京,贺汉根.基于道路结构特征的自主车视觉导航[J].吉林大学学报(信息科学版),2004,22(4):415-419. 被引量:14

二级参考文献43

  • 1张勇,欧宗瑛,侯建华.基于主动轮廓模型的医学图像边界跟踪[J].仪器仪表学报,2002,23(z1):173-174. 被引量:7
  • 2朱树先,张仁杰.BP和RBF神经网络在人脸识别中的比较[J].仪器仪表学报,2007,28(2):375-379. 被引量:30
  • 3WANG Q,YANG J G. Driver fatigue detection: A survey [ C]. Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on Volume 2, 21-23 June 2006(s) :8587 - 8591.
  • 4ZHANG;Z T,ZHANG J S. A new real-time eye tracking for driver fatigue detection [ C ]. ITS Telecommunications Proceedings, 2006 6th International Conference on, June 2006:8 - 11.
  • 5WANG Q, YANG W K. Eyelocation in face images for driver fatigue monitoring [ C ]. ITS Telecommunications Proceedings, 2006 6th International Conference on, June 2006 : 322 -325.
  • 6ZHANG Z T, ZHANG J S. Driver fatigue detection based intelligent vehicle control [ C ]. Pattern Recognition 2006. ICPR 2006. 18th International Conference on Volume 2, 2006 ) : 1262-1265
  • 7JI Q,ZHU Z W,et al. Real-time nonintrusive monitoring and prediction of driver fatigue [ J ]. Vehicular Technology, IEEE Transactions on, 2004 ( 53 ) : 1 052 - 1068
  • 8YANG G,LIN, Y. A driver fatigue recognition model using fusion of multiple features [ C ]. Systems, Man and Cybernetics, 2005 IEEE International Conference on. 2005,2 : 1777 - 1784.
  • 9WEI J M ,ZHANG J G. Image data fusion based on fuzzy neural network [ C ] . Proceedings of the Seventh IASTED International Conference on Signal and Image Processing, SI P2005, 185-189.
  • 10OTHMAN H, ABOULNASR T. Hybrid hidden Markov model for face recognition [ C ]. Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium. 2000:36 - 40.

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