• DocumentCode
    2409009
  • Title

    The corner detection for a mobile robot of power lines

  • Author

    Zuo, Qi ; Guo, Zi Jian ; Xu, De

  • Author_Institution
    Field Bus Tech & Autom. Key Lab., North China Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    333
  • Lastpage
    336
  • Abstract
    This paper put forwards a corner detection solution and develops and builds a vision system depending upon the TMS320DM642 as the core, which can realize the image collection and display, implement the corner detection algorithm. Through the extended UART interfaces, this system can communicate with mobile robots of power lines. Corner coordinates obtained from the algorithm of this system can be used for extraction and matching of the image feature points, motion estimation, three-dimensional reconstruction, etc. Compared to the traditional vision system based on image capturing cards and PC platforms, it has the advantages of small size, favourable real-time properties, low power consumption, etc. Experiment results indicate that the precision and speed of corner extraction are both better than those of the traditional PC platforms.
  • Keywords
    computer interfaces; computer vision; edge detection; feature extraction; image matching; image reconstruction; mobile robots; motion estimation; robot vision; UART interface; corner detection algorithm; image feature point extraction; image matching; image reconstruction; mobile robot; motion estimation; power lines; vision system; Autocorrelation; Detection algorithms; Displays; Image edge detection; Machine vision; Mechatronics; Mobile robots; Paper technology; Pixel; Robotics and automation; Corner detector; dsp; harris algorithm; robot of power lines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3817-4
  • Type

    conf

  • DOI
    10.1109/ICIMA.2009.5156629
  • Filename
    5156629