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
Link To Document :
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