Machine vision applied to navigation of confined spaces

被引:0
|
作者
Briscoe, JM [1 ]
Broderick, DJ [1 ]
Howard, R [1 ]
Corder, EL [1 ]
机构
[1] NASA, George C Marshall Space Flight Ctr, Imaging Team, Huntsville, AL 35812 USA
来源
SPACEBORNE SENSORS | 2004年 / 5418卷
关键词
miniature; vision; robotics; inspection; laser;
D O I
10.1117/12.542079
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The reliability of space related assets has been emphasized after the second loss of a Space Shuttle. The intricate nature of the hardware being inspected often requires a complete disassembly to perform a thorough inspection which can be difficult as well as costly. Furthermore, it is imperative that the hardware under inspection not be altered in any other manner than that which is intended. In these cases the use of machine vision can allow for inspection with greater frequency using less intrusive methods. Such systems can provide feedback to guide, not only manually controlled instrumentation, but autonomous robotic platforms as well. This paper serves to detail a method using machine vision to provide such sensing capabilities in a compact package. A single camera is used in conjunction with a projected reference grid to ascertain precise distance measurements. The design of the sensor focuses on the use of conventional components in an unconventional manner with the goal of providing a solution for systems that do not require or cannot accommodate more complex vision systems.
引用
收藏
页码:30 / 37
页数:8
相关论文
共 50 条
  • [31] Detection for navigation route for cotton harvester based on machine vision
    Chen, B. (fbcbq@163.com), 1600, Chinese Society of Agricultural Engineering (29):
  • [32] A NEURAL MACHINE VISION MODEL FOR ROAD DETECTION IN AUTONOMOUS NAVIGATION
    Neagoe, Victor-Emil
    Tudoran, Cristian-Tudor
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2011, 73 (02): : 167 - 178
  • [33] Positioning method of integrated navigation based on GPS and machine vision
    Chen Y.
    Zhang M.
    Ma W.
    Liu Z.
    Ji Y.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2011, 27 (03): : 126 - 130
  • [34] Machine Vision System Errors for Unmanned Aerial Vehicle Navigation
    Lindner, Lars
    Sergiyenko, Oleg
    Rivas-Lopez, Moises
    Ivanov, Mykhailo
    Rodriguez-Quinonez, Julio C.
    Hernandez-Balbuena, Daniel
    Flores-Fuentes, Wendy
    Tyrsa, Vera
    Muerrieta-Rico, Fabian N.
    Mercorelli, Paolo
    2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2017, : 1615 - 1620
  • [35] Navigation system based on machine vision of multiple reference markers
    Su, Xiaopeng
    Dong, Wenbo
    Wang, Zhenyu
    Zhou, Yuanyuan
    LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, 2017, 10605
  • [36] Study on navigation control method for CyberCar based on machine vision
    Zhang Rong-hui
    Wang Rong-ben
    You Feng
    Jia Hong-guang
    Chen Tao
    2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5, 2007, : 1882 - +
  • [37] A neural machine vision model for road detection in autonomous navigation
    Neagoe, Victor-Emil
    Tudoran, Cristian-Tudor
    UPB Scientific Bulletin, Series C: Electrical Engineering, 2011, 73 (02): : 167 - 178
  • [38] Key technologies of robot navigation based on machine vision: A review
    Zhang, B.
    Zhu, D. L.
    AUTOMATIC CONTROL, MECHATRONICS AND INDUSTRIAL ENGINEERING, 2019, : 31 - 36
  • [39] Robot Indoor Navigation Based on Computer Vision and Machine Learning
    Mo, Hongwei
    Luo, Chaomin
    Liu, Kui
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2016, PT II, 2016, 9713 : 528 - 534
  • [40] The research of agricultural vehicle intelligent navigation based on machine vision
    Ren Zhenhui
    Zhang Jinguo
    PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON AGRICULTURE ENGINEERING, 2007, : 497 - 501