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新型人工地标的设计、识别、定位及应用 被引量:8

Design,recognition,localization and application of a new artificial landmark
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摘要 人工地标是机器人定位与导航的重要辅助手段。设计了一种基于QR Code(quick response code)技术的新型人工地标,该地标不仅能存储丰富的环境信息,还能为机器人提供有效的方位信息。为了让机器人能够在远距离找到人工地标,设计了基于颜色和形状的快速识别算法。利用消影线原理设计了定位算法,可在机器人摄像机坐标系中快速、准确地定位人工地标。给出了机器人远距离搜寻、识别、定位及读取人工地标的控制方案,为机器人自主定位及导航奠定了基础。实验表明,该人工地标识别距离远、识别速度快、定位精度高,在复杂室内环境下仍能有很高的识读效率和很好的稳定性。 The artificial landmark is an important auxiliary method for robot localization and navigation.A kind of new artificial landmark based on QR Code(quick response code) technology was proposed.This new landmark not only stores rich environment information,but also provides effective pose information to the robot.An algorithm based on shape and color of the landmark was presented in order that the landmark could be recognized by the robot in the far distance.The localization algorithm using the vanishing line principle was designed to locate the artificial landmark quickly and accurately in the camera coordinates of the robot.A control scheme including searching in the far distance,recognition,localization and reading landmarks was proposed,which laid a solid foundation for robot autonomous localization and navigation.Experiments demonstrated that the new landmark had far recognition distance,high recognition speed,high positioning precision,high decoding efficiency and stability even in a complex indoor environment.
出处 《山东大学学报(工学版)》 CAS 北大核心 2011年第2期107-113,118,共8页 Journal of Shandong University(Engineering Science)
基金 国家高技术研究发展计划(863计划)资助项目(2006AA040206 2009AA04Z220)
关键词 人工地标 QRCode 消影线 机器人定位与导航 artificial landmark QR Code vanishing line robot localization and navigation
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参考文献19

  • 1LERNER R, RIVLIN E, SHIMSHONI I. Landmark selection for task-oriented navigation [ J ]. IEEE Transactions on Robotics, 2007, 23 (3) :494-505. 被引量:1
  • 2GIJEONG J, SUNGHO K, WANGHEON L, et al. Color landmark based self-localization for indoor mobile robots E C ]//Proceedings of the 2002 IEEE International Conference on Robotics & Automation. Washington, USA: the IEEE Press, 2002 : 1037-1042. 被引量:1
  • 3LIN C, TUMMALA R. Mobile robot navigation using artificial landmarks[ J]. Journal of Robotic Systems, 1997, 14(2) :93-106. 被引量:1
  • 4TAYLOR C, KRIEGMAN D. Vision-based motion planning and exploration algorithms for mobile robots [ J ]. IEEE Transactions on Robotics and Automation, 1998, 14 (3) :417-426. 被引量:1
  • 5ZITOVA B, FLUSSER J. Landmark recognition using invariant features [ J ]. Pattern Recognition Letters, 1999, 20 ( 5 ) :541-547. 被引量:1
  • 6SCHARSTEIN D, BRIGGS A. Real-time recognition of self-similar landmarks [J]. Image and Vision Computing, 2001, 19(11) :763-772. 被引量:1
  • 7司秉玉..基于可视人工路标的自主机器人导航若干问题研究[D].东北大学,2003:
  • 8赵守鹏,田国会,李晓磊.基于单个人工地标的机器人自主定位[J].山东大学学报(工学版),2007,37(4):39-44. 被引量:9
  • 9JINWOOK H, KYUNGMIN L, WAN K, et al. Mobile robot exploration in indoor environment using topological structure with invisible barcode[C]//Proceedings of 2006 International Conference on Intelligent Robots and Systems. Beijing, China: IEEE Robotics and Automation Society, 2006: 5265-5272. 被引量:1
  • 10GUO Y, XU X. Landmark design using projective invariant for mobile robot localization [ C ]//IEEE International Conference on Robotics and Biomimetics. Kunming, China: IEEE Computer Society, 2006 : 852-857. 被引量:1

二级参考文献16

  • 1毛澍芬,射影几何,1985年 被引量:1
  • 2HU W C,KUANG J S.Proof of Tienstra's formula by finite-element method[J].Journal of Surveying Engineering,1997,123(1):1-10. 被引量:1
  • 3BETKE M,GURVITS L.Mobile robot localization using landmarks[J].IEEE Transactions on Robot Automat,1997,13(2):251-263. 被引量:1
  • 4CRAIG BECKER,JOAQUIN SALAS,KENTARO TOKUSEI,et al.Reliable navigation using landmarks[A].IEEE international Conference on Robotics and Automation[C].Nagoya,Japan:the IEEE Inc,1995.401-406. 被引量:1
  • 5GIJEONG JANG,SUNGHO KIM,WANGHEON LEE,et al.Color landmark based self-localization for indoor mobile robots[A].Proceedings of the 2002 IEEE International Conference on Robotics & Automation[C].Washington DC,USA:the IEEE Inc,2002.1037-1042. 被引量:1
  • 6KUKJIN YOON,INSO KWEON.Artificial landmark tracking based on the color histogram[A].Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems[C].Maui,Hawaii,USA:the IEEE Inc,2001.1918-1923. 被引量:1
  • 7TAYLOR C J,KRIEGMAN DJ.Vision-based motion planning and exploration algorithms for mobile robots[J].IEEE Transactions on Robotics and Automation,1998,14(3):417-426. 被引量:1
  • 8SCHARSTEIN D,BRIGGS A J.Real-time recognition of self-similar landmarks[J].Image and Vision Computing,2001,19(11):763-772. 被引量:1
  • 9TSAI R Y.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf cameras and lenses[J].IEEE Journal of Robotics and Automation,1987,RA-3(4):323-344. 被引量:1
  • 10Lin W G, Mu C L, Takase K. Path Planning with Topological Map built with ID Tag and Web Camera. In: IEEE International Conference on Mechatronics and Automation, USA: IEEE, 2006. 1739-1744 被引量:1

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