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

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.

[1]  Mahendra Pratap Singh,et al.  Evolution of Processor Architecture in Mobile Phones , 2014 .

[3]  Timothy A. Thomas,et al.  LTE-advanced: next-generation wireless broadband technology [Invited Paper] , 2010, IEEE Wireless Communications.

[4]  Mignon Park,et al.  A Vision-Based Automated Guided Vehicle System with Marker Recognition for Indoor Use , 2013, Sensors.

[5]  M. Sulaiman,et al.  Vision-Based Automated Guided Vehicle for Navigation and Obstacle Avoidance , 2007 .

[6]  D. Herrero-Pérez,et al.  Autonomous navigation of an automated guided vehicle in industrial environments , 2010 .

[7]  Miodrag Potkonjak,et al.  Processors for mobile applications , 2000, Proceedings 2000 International Conference on Computer Design.

[8]  Ulf Andersson Laser Navigation System for Automatic Guided Vehicles : From Research Prototype to Commercial Product , 2013 .

[9]  Jun Yu,et al.  A Dual-Core Real-Time Embedded System for Vision-Based Automated Guided Vehicle , 2009, 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009).

[10]  René M. B. M. de Koster,et al.  A review of design and control of automated guided vehicle systems , 2006, Eur. J. Oper. Res..

[11]  S. Kamewaka,et al.  A magnetic guidance method for automated guided vehicles , 1987 .

[12]  Wiebke Andresen The Mobile Consumer , 2013 .

[13]  Yumei Huang,et al.  Research on the method of composite navigation for AGV , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[14]  Qu Ying-Dong,et al.  A fast subpixel edge detection method using Sobel-Zernike moments operator , 2005, Image Vis. Comput..

[15]  Iris F. A. Vis,et al.  Survey of research in the design and control of automated guided vehicle systems , 2006, Eur. J. Oper. Res..

[16]  Baljit Singh,et al.  Adaptive Thresholding for Edge Detection in Gray Scale Images , 2010 .

[17]  Toshihiro Tsumura Survey of automated guided vehicle in a Japanese factory , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.