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Omnidirectional image sensing for automated guided vehicle

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dc.contributor.advisor Kotze, B.J.
dc.contributor.advisor Vermaak, H.
dc.contributor.author Swanepoel, Petrus Johannes
dc.contributor.other Central University of Technology, Free State. Faculty of Engineering, Information and Communication Technology. School of Electrical and Computer Systems Engineering
dc.date.accessioned 2014-03-14T10:26:45Z
dc.date.available 2014-03-14T10:26:45Z
dc.date.issued 2009-04
dc.identifier.uri http://hdl.handle.net/11462/39
dc.description Thesis (M. Tech.) -- Central University of Technology, Free State, 2009 en_US
dc.description.abstract Automated Guided Vehicles (AGVs) have many different design specifications, although they all have certain design features in common, for instance they are designed to follow predetermined paths, and they need to be aware of their surroundings and changes to their surroundings. They are designed to house sensors for navigation and obstacle avoidance. In this study an AGV platform was developed by modifying an electric wheelchair. A serial port interface was developed between a computer and the control unit of the electric wheelchair, which enables the computer to control the movements of the platform. Different sensors were investigated to determine which would be best suited and most effective to avoid collisions. The sensors chosen were mounted on the AGV and a programme was developed to enable the sensors to assist in avoiding obstacles. An imaging device as an additional sensor system for the AGV was investigated. The image produced by a camera and dome mirror was processed into a panoramic image representing an entire 360o view of the AGV‟s surroundings. The reason for this part of the research was to enable the user to make corrections to the AGV‟s path if it became stuck along the track it was following. The entire system was also made completely wireless to improve the flexibility of the AGV‟s applications. en_US
dc.format.extent 6800302 bytes (2 files)
dc.format.mimetype application/pdf
dc.language.iso en en_US
dc.publisher Bloemfontein : Central University of Technology, Free State
dc.subject Central University of Technology, Free State - Dissertations en_US
dc.subject Robots - Control systems en_US
dc.subject Robots - Programming en_US
dc.subject Robots - Motion en_US
dc.subject Remote sensing - Data processing en_US
dc.subject Dissertations, academic - South Africa - Bloemfontein en_US
dc.title Omnidirectional image sensing for automated guided vehicle en_US
dc.type Thesis en_US
dc.rights.holder Central University of Technology, Free State


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