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Jaimes M, Christian E.
- System of Monitoring and Guidance of Autonomous Vehicles based on Machine Vision
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1 Universidad Distrital Francisco Jose de Caldas, Bogota D.C., CO
1 Universidad Distrital Francisco Jose de Caldas, Bogota D.C., CO
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Indian Journal of Science and Technology, Vol 11, No 41 (2018), Pagination: 1-8Abstract
Objectives: To describe the design and implementation of an autonomous vehicle monitoring and guidance system (AGV) based on machine vision. Methods/Analysis: The design of each of the modules was established: Machine vision that obtains the position, orientation and identification of each AGV from the recognition of the detector codes. The wireless communication interface from the use of the Xbee module and that establishes the communication between the AGVs and the central host. And the central controller makes the decision of the host for each AGV as the control of traffic and movement. Findings: For each of these modules the relevant tests were carried out in 3 stages in which the first one tested the HMI that allows the user to control the whole system. The second stage tests were performed on each of the modules for one and two cameras, and the last stage examines the behavior of the complete system from the data obtained from the second stage. Improvements: By using a better resolution camera the system can operate with better results.References
- Shengfang L, Xingzhe H. Research on the AGV Based Robot System Used in Substation Inspection. International Conference Power System Technology. 2006; p. 1-4. https://doi.org/10.1109/ICPST.2006.321495.
- Frohn H, Seelen W. VISOCAR: An Autonomous Industrial Transport Vehicle Guided by Visual Navigation. Proceedings, International Conference on Robotics and Automation. 1989; p. 1155-9.
- Feng Y, Hong C, Lanjun Z. Path Plan Acquisition System for AGV with Dual CCD-Cameras. Proceedings of the IEEE International Conference on Industrial Technology (ICIT’96). 1996; p. 867-9. https://doi.org/10.1109/ICIT.1996.601723.
- Butdee S, Suebsomran A. Automatic guided vehicle control by vision system. IEEM-IEEE International Conference on Industrial Engineering and Engineering Management. 2009; p. 694-7. https://doi.org/10.1109/IEEM.2009.5373238
- Lee J-W, Choi S-U, Lee C, Lee Y, Lee K. A study for AGV steering control and identification using vision system. ISIE-IEEE International Symposium on Industrial Electronics Proceedings. 2001; 3:1575-8.
- Lee Y, Suh J, Lee K. Auto steering control of unmanned container transport (UCT) with vision system and mediated immune algorithm controller. 30th Annual Conference of IEEE Industrial Electronics Society, IECON. 2004; 3:2987-91.
- Modesti M, Mateus S. Sistemas de guiado para colaboracion en navegacion de vehiculos autonomos (AGV). 6º Encuentro de Investigadores Nacionales e Internacionales, Politecnico Colombiano Jaime Isaza Cadavid. 2008; p. 1-6.
- Shen Y, Zhang Y, Yuan J. Design and Implementation on Motion Control System of AGV Based on DSP. IEEE 3rd International Conference on Communication Software and Networks. 2011; p. 338-42.
- QR code.com. History of QR Code. Available from: http://www.qrcode.com/en/history/. Date accessed: 1990.
- Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics. 1979; 9(1):62-6. https://doi.org/10.1109/TSMC.1979.4310076.
- Shaikh A, Dhale A. AGV routing using Dijkstra’s Algorithm - A review. International Journal of Scientific & Engineering Research. 2013; 4(7):1665-70.