• DocumentCode
    3228252
  • Title

    The design of DSP-based corner detection for power line inspection robot

  • Author

    Zuo, Qi ; Guo, Zijian ; Sun, Dehui ; De Xu

  • Author_Institution
    Field Bus Tech & Autom. Key Lab., North China Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    25-28 July 2009
  • Firstpage
    763
  • Lastpage
    766
  • Abstract
    Aiming at the requirement of power line inspection robot, this paper develops and builds a vision system depending upon the TMS320DM642 as the core, which can realize the image collection and display, implement the image features extraction. Through the extended UART interfaces, this system can communicate with the control unit of Power Line Inspection Robot. 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
    automatic optical inspection; digital signal processing chips; edge detection; feature extraction; image matching; power cables; robot vision; DSP-based corner detection; TMS320DM642; extended UART interfaces; image capturing cards; image collection; image features extraction; motion estimation; power line inspection robot; three-dimensional reconstruction; vision system; Control systems; Displays; Feature extraction; Image reconstruction; Inspection; Machine vision; Motion estimation; Real time systems; Robot kinematics; Robot vision systems; Corner detector; DM642; harris algorithm; power line inspection robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
  • Conference_Location
    Nanning
  • Print_ISBN
    978-1-4244-3520-3
  • Electronic_ISBN
    978-1-4244-3521-0
  • Type

    conf

  • DOI
    10.1109/ICCSE.2009.5228133
  • Filename
    5228133