• DocumentCode
    1798047
  • Title

    Autonomous running control system of an AGV by a tablet PC based on the wall-floor boundary line

  • Author

    Zorig, Anar ; Haginiwa, Atsushi ; Sato, Hikaru

  • Author_Institution
    Grad. Sch. of Software & Inf. Sci., Iwate Prefectural Univ., Takizawa, Japan
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    In our research, we have studied the autonomous running control system of the automatic guided vehicles (AGV) used in the manufacturing facilities using the tablet PC. The moving direction of automatic vehicle is controlled by the results of image processing methods on captured images of the tablet PC. In the image processing step, after detecting edges we obtain wall-floor boundaries by analyzing those edges. By applying the least square method on the wall-floor boundaries, we calculate the moving direction of the AGV. To improve the accuracy of the moving direction, we divide the edge detection image into grid cells and remove all edges in cells with sparse edges. Furthermore, we divided all boundary points into vertical subdivisions, estimated unusual small boundaries and discarded them. As a result of our research, the running distance of the AGV was improved from 10 meters to the whole length of the testing course. The distance of testing course is 100 meters long.
  • Keywords
    automatic guided vehicles; control engineering computing; edge detection; image processing; production facilities; AGV; automatic guided vehicles; autonomous running control system; edge detection; image processing methods; manufacturing facilities; tablet PC; wall-floor boundary line; Accuracy; Floors; Image edge detection; Navigation; Production facilities; Program processors; Testing; Android; Autonomous running; Image Processing; Tablet PC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Vehicles and Transportation Systems (CIVTS), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/CIVTS.2014.7009486
  • Filename
    7009486