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Automatic recognition codes for Intelligent Vehicle-Highway Systems
| dc.creator | Leonardi, Pierre Charles Louis | |
| dc.date.accessioned | 2012-06-07T22:37:10Z | |
| dc.date.available | 2012-06-07T22:37:10Z | |
| dc.date.created | 1994 | |
| dc.date.issued | 1994 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1994-THESIS-L581 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references. | en |
| dc.description.abstract | This thesis describes an automatic recognition code system designed for non-stop toll collection (part of Intelligent Vehicle-Highway Systems). The system uses Bose, Chaudhuri, and Hocquenghem (BCH) codes to encode the information. Each code is printed on a tag which is stuck on a vehicle. When passing trough a toll plaza, a video camera takes a picture of the vehicle. A modified fast Hough transform locates the tag. The binary information read on the tag is then fed to a Belerkamp decoder with error-correcting capabilities. At the end of this process, the original decimal information is recovered. In this thesis, the algorithmic approach to the problem is developed and tested on simulated images. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | electrical engineering. | en |
| dc.subject | Major electrical engineering. | en |
| dc.title | Automatic recognition codes for Intelligent Vehicle-Highway Systems | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | electrical engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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