Autonomous Vehicle Control using Image Processing
dc.contributor.author | Schlegel, Nikolai | en |
dc.contributor.committeechair | Bay, John S. | en |
dc.contributor.committeemember | Kachroo, Pushkin | en |
dc.contributor.committeemember | Nunnally, Charles E. | en |
dc.contributor.department | Electrical and Computer Engineering | en |
dc.date.accessioned | 2014-03-14T20:51:10Z | en |
dc.date.adate | 1997-01-27 | en |
dc.date.available | 2014-03-14T20:51:10Z | en |
dc.date.issued | 1997-01-27 | en |
dc.date.rdate | 1997-01-27 | en |
dc.date.sdate | 1998-07-18 | en |
dc.description.abstract | This thesis describes the design of an inexpensive autonomous vehicle system using a small scaled model vehicle. The system is capable of operating in two different modes: telerobotic manual mode and automated driving mode. In telerobotic manual mode, the model vehicle is controlled by a human driver at a stationary remote control station with full-scale steering wheel and gas pedal. The vehicle can either be an unmodified toy remote-control car or a vehicle equipped with wireless radio modem for communication and microcontroller for speed control. In both cases the vehicle also carries a video camera capable of transmitting video images back to the remote control station where they are displayed on a monitor. In automated driving mode, the vehicle's lateral movement is controlled by a lateral control algorithm. The objective of this algorithm is to keep the vehicle in the center of a road. Position and orientation of the vehicle are determined by an image processing algorithm identifying a white middle marker on the road. Two different algorithm for image processing have been designed: one based on the pixel intensity profile and the other on vanishing points in the image plane. For the control algorithm itself, two designs are introduced as well: a simple classical P-control and a control scheme based on H-Infinity. The design and testing of this autonomous vehicle system are performed in the Flexible Low-cost Automated Scaled Highway (FLASH) laboratory at Virginia Tech. | en |
dc.description.degree | Master of Science | en |
dc.identifier.other | etd-283421290973280 | en |
dc.identifier.sourceurl | http://scholar.lib.vt.edu/theses/available/etd-283421290973280/ | en |
dc.identifier.uri | http://hdl.handle.net/10919/36580 | en |
dc.publisher | Virginia Tech | en |
dc.relation.haspart | etd.pdf | en |
dc.relation.haspart | schlegel.pdf | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | autonomous vehicle | en |
dc.subject | lateral control | en |
dc.subject | image processing | en |
dc.subject | telerobotic operation | en |
dc.subject | H-Infinity control | en |
dc.title | Autonomous Vehicle Control using Image Processing | en |
dc.type | Thesis | en |
thesis.degree.discipline | Electrical and Computer Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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