期刊文献+

一种并联机器人双目主动视觉监测平台避障方法的研究 被引量:5

Study of an obstacle avoidance method on binocular active visual monitoring platform of parallel robot
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摘要 一种基于圆型轨道的双目主动视觉监测平台的建立,解决了并联机器人的"盲"工作状态问题。然而在摄像机和并联机器人的加工位置之间常常有障碍物出现,为了避免摄像机的观测视线被遮挡,提出了一种在摄像机运动空间上求解障碍区域的方法。该方法中引入了最小面积凸包围盒算法,简化了求解过程,从而能实现视觉监测平台的快速避障。算例实验表明该方法是正确、有效的。 A binocular active visual monitoring platform based on circular guide rail is established to solve the "blind" working status of parallel robot. However, between the eamera and the machining position of the parallel robot, there are some obstacles frequently. In order to avoid the camera's observing line to be covered, a method which can solve the obstacle area on motion space of the cameras is proposed. Min area convex encasing box is introduced in this method, and then fast obstacle avoidance for visual monitoring platform can be realized. At last, the effectiveness and validity of this method is verified by the computation example.
出处 《燕山大学学报》 CAS 2009年第3期189-193,共5页 Journal of Yanshan University
基金 国家高技术研究发展计划(2006AA04Z212)
关键词 并联机器人 主动视觉 障碍检测 障碍区域 parallel robot active vision obstacle detection obstacle area
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参考文献6

  • 1Kong Lingfu, Zhang Shihui. A novel parallel engraving machine based on 6-PUS mechanism and related technologies [C]//Advanced Robotic Systems Scientific Book, Vienna, Austria: 2005,223-242.
  • 2张世辉,孔令富.一种新型6-PUS并联机构雕刻机[J].机器人,2005,27(4):313-318. 被引量:10
  • 3孔令富,王月明,赵立强.并联机器人双目主动视觉目标定位的研究[J].计算机集成制造系统,2007,13(11):2284-2288. 被引量:10
  • 4Novak G, Bais A, MahlknecicS. Simple stereo vision system for real-time object recognition for an autonomous mobile robot [C] / /Proceedings of IEEE International Conference on Computational Cybernetics, Vienna, 2004: 213-216.
  • 5Huang W, Fajen B, Finka J, et al.. Visual navigation and obstacle avoidance using a steering potential function [J]. Robotics and Autonomous Systems, 2006,54 (4): 288-299.
  • 6马颂德 张正友.计算机视觉-计算理论与算法基础[M].北京:科学出版社,2003..

二级参考文献9

  • 1孙家广 杨长贵.计算机图形学[M].北京:清华大学出版社,2000..
  • 2马颂德 张正友.计算机视觉-计算理论与算法基础[M].北京:科学出版社,2003..
  • 3RENAUD P, ANDREFF N, MARQVET F, et at. Vision based kinematic calibration of a H4 parallel mechanism[C]//Proceedings of the 2003 IEEE International Conference on Robotics and Automation. Piscataway, N, J., USA: IEEE Press,2003(1) : 191-1196.
  • 4RENAUD P, ANDREFF N, MARTINET G, et al. Kinematic calibration of parallel mechanism: a novel approach using legs observation[J]. IEEE Transactions on Robotics, 2005 , 21(4) :529-538.
  • 5ANDREFF N, MARTINET P. Vision servoing of a Gough-Stewart parallel robot without proprioceptive sensors[C]//Proceedings of the 5th International Workshop on Robot Motion and Control. Piscataway, N. J. , USA: IEEE Press, 2005: 225-230.
  • 6XIAO N F, NAHAVANDI S. An active stereo vision based learning approach for robotic tracking, fixating and grasping control[C]//Proceedings of 2002 IEEE Internation Conference on Industrial Technology. Piscataway, N. J. , USA: IEEE Press, 2002(1) :584-587.
  • 7MITSUDA T, MARE N, FUJIKAWA K, et at. Visual servoing based on the use of binocular visual space[C]//Proeeedings of 1996 IEEE/RSJ Inturnationat Conference on Intelligent Robots and Systems. Piscataway, N.J. , USA: IEEE Press, 1996(3):1104-1111.
  • 8罗翔,席文明,颜景平.一种双目主动立体视觉系统的目标定位算法[J].东南大学学报(自然科学版),2002,32(1):59-63. 被引量:10
  • 9郭希娟,黄真.并联机器人机构加速度的性能指标分析[J].中国机械工程,2002,13(24):2087-2091. 被引量:17

共引文献62

同被引文献20

  • 1刘科,谢敬辉,李卓.被动式光学测距误差分析[J].光学技术,2005,31(4):586-587. 被引量:5
  • 2赵栋,刘立人,王吉明,郎海涛,潘卫清,刘锡民.基于光子数目比较的激光测距法[J].光学学报,2006,26(7):1091-1096. 被引量:10
  • 3Chang T H, Gong S, Ong E J. Tracking multiple people under occlusion using multiple cameras [C] //Proceedings of the British Machine Vision Conference, Bristol, UK, 2000: 566-575.
  • 4Li Huiguang, Jin Mei, Zou Liying. A new binocular stereo visual servoing model [C] //IEEE Pacific2asia Workshop on Computa- tional InteUigenceProceedings, Wuhan, 2008: 461-465.
  • 5Lowe D G. Distinctive Image Features from Scale-Invariant Keypoints [C] // International Journal of Computer Vision, Canada, 2004: 91-110.
  • 6LoweDG. Object recognition from local scale-invariant features [C] //International Conference on Computer Vision, Corfu, Greece, 1999: 1150-1157.
  • 7Vasiliki E. Kosmidou,Leontios I. Hadjileontiadis.Using sample entropy for automated sign language recognition on sEMG and accelerometer data[J].Medical & Biological Engineering & Computing.2010(3)
  • 8Nouar O D,,Ali G,Raphael C.Improved object tracking with CAMShift algorithm[].IEEE International ConferenceAcousticsSpeech and Signal Processing.2006
  • 9万定锐,周杰.双PTZ摄像机系统的标定[J].中国图象图形学报,2008,13(4):786-793. 被引量:4
  • 10岳荣刚,王少萍,李凯,宋凌珺.基于相似原理的新型双目测距法[J].光电工程,2008,35(4):64-68. 被引量:6

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