• DocumentCode
    3511784
  • Title

    Robot vision system using high order correlation analysis

  • Author

    Kameyama, Keisuke ; Sakamoto, Masashi ; Akagi, Hirofumi ; Jhang, Kyung-Young ; Sato, Takuso

  • Author_Institution
    Interdisciplinary Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Yokohama, Japan
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    86
  • Lastpage
    90
  • Abstract
    Object movement detection by high order correlation analysis of optical sensor array signals is introduced. The optical sensors observe the moving object surface which is assumed to be a non-uniform speckle-like texture. The measurement system is applicable to general robotic movement detection because: it employs a noncontact measurement method, the system can be made very compact, and it enables approximation of the movement trace with a sequence of arcs instead of the conventional connection of simple line segments. The authors looked into estimation of the running trace of an autonomous vehicle by observing the ground pattern.
  • Keywords
    computer vision; correlation methods; autonomous vehicle; ground pattern observation; high order correlation analysis; measurement system; noncontact measurement method; optical sensor array signals; robot vision system; robotic movement detection; Land vehicles; Object detection; Optical arrays; Optical sensors; Remotely operated vehicles; Robot sensing systems; Robot vision systems; Sensor arrays; Signal analysis; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
  • Conference_Location
    South Lake Tahoe, CA, USA
  • Print_ISBN
    0-7803-1238-4
  • Type

    conf

  • DOI
    10.1109/HOST.1993.264591
  • Filename
    264591