期刊文献+

基于并联理论的单目视觉位姿估计 被引量:9

Pose estimation of monocular vision based on parallel theory
下载PDF
导出
摘要 搭建了一种主动式测量系统用于测试伺服稳定平台的伺服精度。以此系统为基础,提出了基于并联理论的单目视觉位姿测量方法。介绍了系统的硬件组成和系统测量原理,分析了系统的分辨率。给出了激光点在投影靶坐标系下的计算原理及过程。然后,从并联机构的自由度出发,将视觉测量系统等效地转化为一个并联机构,将视觉测量系统的位姿估计问题转换为并联机构的正解问题。利用并联机构的运动影响系数迭代求解系统的位姿,由并联机构关节螺旋直接得到影响系数,由此简化了推导过程。仿真和实验结果表明:系统的姿态测量精度为±0.05°。该方法能够快速稳定的收敛,基本达到了系统的设计要求。 An active measurement system was put up to measure the servo accuracy of a servo stable platform.On the basis of the system,a new pose estimation method of monocular vision was proposed according to the parallel theory.First,the hardware composition and measuring principle of the system were introduced and its resolution was analyzed.The calculation principle and calculation process of the world coordinates of laser points were given.Then,from the freedom of a parallel mechanism,the visual measurement system was transformed into a parallel mechanism equivalently,and the pose estimation problem was transformed into a forward solution problem of parallel mechanism.Furthermore,the kinematics influence coefficient of the par allel mechanism was used to estimate the pose of the system.Instead of complex derivations,the kinematics influence coefficient could be obtained directly.The simulation and experimental results show that the orientation measurement accuracy of the system is ± 0.05 °,which concludes that the method has a rapid and stable convergence for the design requirements of the system.
出处 《光学精密工程》 EI CAS CSCD 北大核心 2013年第10期2617-2626,共10页 Optics and Precision Engineering
基金 国家自然科学基金资助项目(No.50975244)
关键词 单目视觉 位姿测量 并联机构 运动影响系数 激光点 monocular vision pose estimation parallel mechanism kinematics influence coefficient laser point
  • 相关文献

参考文献7

二级参考文献49

共引文献178

同被引文献65

  • 1黄桂平,李广云,王保丰,叶声华.单目视觉测量技术研究[J].计量学报,2004,25(4):314-317. 被引量:92
  • 2张征宇,丁玉成,洪军.STL模型分割截面的三角剖分算法[J].计算机辅助设计与图形学学报,2005,17(6):1240-1245. 被引量:9
  • 3王睿,阎鹏,刘红英,张广军.基于扩展卡尔曼滤波的舰机相对位姿估测[J].北京航空航天大学学报,2006,32(11):1349-1353. 被引量:7
  • 4马骊群,王立鼎,靳书元,王继虎,曹铁泽.工业大尺寸测量仪器的溯源现状及发展趋势[J].计测技术,2006,26(6):1-5. 被引量:41
  • 51.1PP1EL1.O V, SIC1LIANO B, VILLANI I.. Adap- tive extended Kalman filtering for visual motion esti- mation of 3D objects[J]. Control Engineering Prac- tice, 2007, 15(1): 123-134.
  • 6JANABI-SHARIFI F, MAREY M. A Kalman- Fil- ter based method for pose estimation in visual servo- ing [ J]. IEEE Transactions on Robotics, 2010, 26(5) : 939-947.
  • 7JULIER S J, UHLMANN J K, DURRANT-WHYTE H F. A new approach for filtering nonlinear systems [C]. Proceedings of the American Control Conference, 1995: 1628-1632.
  • 8MOHAMED A H, SCHWARZ K P. Adaptive Kal- man Filtering for INS/GPS[J]. Journal of Geodesy, 1999(73) : 193-203.
  • 9ZHANG L L, XU C, I.EE K M, et al: Robust and efficient pose estimation from line correspon-dences [C]. Computer Vison-ACCV 2012 Lecture Notes in Computer Science, 2013,2013 : 217-230.
  • 10MIRZAEI F M, ROUMELIOTIS S I. Globally op- timal pose estimation from line correspondences [C]. IEEE International Conference on Robotics and Automation (ICRA) , 2011, 5581-5588.

引证文献9

二级引证文献64

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