Automated Guided Vehicles (AGVs) use different techniques to help locate their position with respect to a point of origin. This thesis compares two approaches that utilize a binary track laid on the floor for the AGV to follow. Both approaches use equally spaced n-tuples on the track that the AGV can use to compute its position. Both approaches also have the special feature that every n-tuple on the binary track is unique and can be used to designate the position of an AGV. The first approach, developed by E.M. Petriu, uses a Pseudo-Random Binary Sequence (PRBS) as a model for the binary track. In the second approach, we use a Greedy DeBruijn Sequence (GDBS) as a model for the binary track. Unlike the PRBS model, the GDBS model has a natural ordering which can be used to determine the position of the AGV more quickly and efficiently than the PRBS model.
| Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/2612 |
| Date | 09 1900 |
| Creators | Ortiz, John E. |
| Contributors | Fredricksen, Harold M., Butler, Jon T., Naval Postgraduate School (U.S.)., Department of Electrical Engineering |
| Publisher | Monterey California. Naval Postgraduate School |
| Source Sets | Naval Postgraduate School |
| Detected Language | English |
| Type | Thesis |
| Format | xvi, 151 p. : ill. ;, application/pdf |
| Rights | Approved for public release, distribution unlimited |
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