| dc.contributor.author | Orazova, Anna | |
| dc.date.accessioned | 2015-03-19T10:29:06Z | |
| dc.date.available | 2015-03-19T10:29:06Z | |
| dc.date.issued | 2015-03-19 | |
| dc.identifier.uri | http://hdl.handle.net/2077/38519 | |
| dc.description.abstract | This paper describes a vision-based approach to miniature robot vehicle position estimation
and navigation, that integrates data from on-board camera, tachometers and
steering servo. The goal is to navigate a miniature vehicle on an indoor track using
visual data from lane markings and dead reckoning from odometry. Then the estimated
position of the miniature vehicle will be visualized in real-time and overlayed on a photo
of the actual track. This will be used to evaluate how well this estimation performs and
what its limitations are. | sv |
| dc.language.iso | eng | sv |
| dc.title | Indoor Navigation with Model Vehicles | sv |
| dc.type | text | |
| dc.setspec.uppsok | Technology | |
| dc.type.uppsok | H2 | |
| dc.contributor.department | Göteborgs universitet/Institutionen för data- och informationsteknik | swe |
| dc.contributor.department | University of Gothenburg/Department of Computer Science and Engineering | eng |
| dc.type.degree | Student essay | |
