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The Study of Navigation System of AGV

Author: MaDaoMing
Tutor: JinFan
School: Kunming University of Science and Technology
Course: Control Theory and Control Engineering
Keywords: AGV Pulse Coupled Neural Networks Navigation logo Particle filter
CLC: TP242
Type: Master's thesis
Year: 2010
Downloads: 184
Quote: 0
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Abstract


As commonly used in the logistics industry warehouse handling robot , AGV (Automated Guided Vehicle) system because of its flexibility in logistics , reliability , low cost and a high degree of security , etc. , are widely applied to the tobacco , banking , paper and other industries . With the continuous development of machine vision technology and computer technology , the AGV navigation technology based on machine vision has gradually become an important research directions in the field of intelligent robots . In recent years , many domestic and foreign scholars dedicated to the study of this technology , and has made some achievements . In order to achieve the AGV navigation in any environment , it must know its own position and orientation in the environment ( orientation and position ) , therefore , it is very important to the autonomous positioning AGV . Autonomous global positioning capability in order to make the the AGV visual navigation system , many domestic and foreign scholars design various visual positioning system . In this paper, on the basis of research , summarize the results of previous studies , AGV navigation method based navigation marks . The results of this research are as follows : (1) discussed the of AGV navigation technology development and the status quo , based on this study navigation , and theoretically the feasibility of the program to make . (2) will be based on the pulse coupled neural network image processing method used in the the navigation signs of recognition algorithm . MATLAB simulation verify the feasibility of the recognition algorithm . (3) designed a logo based navigation the AGV own positioning method . Environment affixed with a navigation mark , in the visual range of visible and predictable locale navigation mark , the navigation mark position known . The design algorithm signposts image processing ; logo image using a single camera set up in a different perspective shooting algorithm calculates the position and orientation of the car relative to the global coordinate positioning car navigation . (4) were studied in the case of navigation flag information is lost , the AGV accurate self-locating algorithm .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Robotics > Robot
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