期刊文献+

UUV水下回收冗余视觉定位系统

Design of redundant visual positioning system for UUV underwater recovery
下载PDF
导出
摘要 针对UUV水下回收过程中视觉定位系统易受异物遮挡和视野限制的问题,提出一种冗余视觉定位系统。该系统基于UUV双目相机同时部署单目视觉和双目视觉2种位姿估计算法,相应地在UUV回收装置上设置用于双目视觉定位的导引灯阵和用于单目视觉定位的二维码标识,一旦双目定位方法失效仍然可以通过单目定位方法继续实现定位功能,较传统的单目或双目定位系统具有更高的可靠性。经水池试验验证,该定位系统具有较好的定位速度和精度,且只有在灯阵目标和二维码目标均丢失的情况下才会失效。 A redundant visual positioning system is proposed to solve the problem that the visual positioning system is susceptible to foreign object occlusion and visual field limitation during UUV underwater recovery.Based on the UUV binocular camera,the system deploys both monocular and binocular position estimation algorithms simultaneously,and the guide lights array for binocular vision positioning and the QR code marker for monocular vision positioning are set on the UUV recycling device accordingly.Once the binocular positioning method fails,the positioning function can be continued through the monocular positioning method,which is more reliable than the traditional monocular or binocular positioning system.The pool test proves that the positioning system has good positioning speed and accuracy,and will only fail if both the lights array and the QR code are invisible.
作者 王嘉 关夏威 刘智 王心亮 张昊 陈虹 WANG Jia;GUAN Xia-wei;LIU Zhi;WANG Xin-liang;ZHANG Hao;CHEN Hong(Wuhan Second Ship Design and Research Institute,Wuhan 430205,China)
出处 《舰船科学技术》 北大核心 2023年第13期65-68,共4页 Ship Science and Technology
关键词 UUV 位姿估计 单目 双目 二维码 UUV pose estimation monocular binocular QR code
  • 相关文献

参考文献6

二级参考文献35

  • 1张红良,郭鹏宇,李壮.一种视觉辅助的惯性导航系统动基座初始对准方法[J].中国惯性技术学报,2014,12(4):469-473. 被引量:8
  • 2汤士华,李硕,吴清潇,李一平,张奇峰.一种基于视觉的水下机器人动力定位方法[J].海洋工程,2006,24(2):112-117. 被引量:7
  • 3罗世民,李茂西.双目视觉测量中三维坐标的求取方法研究[J].计算机工程与设计,2006,27(19):3622-3624. 被引量:37
  • 4Altshuler R C, Apgar J F, Edelson J S, et al. Orea -Ⅶ: an Autonomous Underwater Vehicle [R]. Massachusetts: Massachusetts Institute Technology, 2004.
  • 5Michel J L. Victor 6000: Design, Utilization and First Improvements[C]//Proeeedings of Thirteenth International Offshore and Polar Engineering Conference. Hawaii, 2003:7-14.
  • 6McLauchlan P F, Murray D W. A Unifying Framework for Structure and Motion Recovery from Image Sequences[C]//Proc. ICCV' 95. Washington: IEEE Computer Society Press, 1995: 314-320.
  • 7Azarbayejani A, Pentland A. Recursive Estimation of Motion, Structure and Focal Length[J]. IEEE Transactions on Pattern Analysis and Maching Intelligence, 1995,17(6) :562-575.
  • 8Davison A J. Real-time Simultaneous Loealisation and Mapping with a Single Camera[C]//Proc. ICCV'95. Washington: IEEE Computer Society Press, 2003:1403-1410.
  • 9Davison A J, Reid I D, Molton N D, et al. Mono- SLAM: Real-time single camera SLAM[J]. IEEE Transactions on Pattern Analysis and Maching Intelligence, 2007, 29(6): 1052-1067.
  • 10Davison A J. Vision- based SLAM in real- time [C]//Proceedings of 3rd Iberian Conference on Pattern Recognition and Image Analysis. Girona, 2007:9-12.

共引文献19

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