Zahari, Taha and Jessnor Arif, Mat Jizat (2015) Landmark Tracking Using Unrectified Omniirectional Image for an Automated Guided Vehicle. In: Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, 345 . Springer, Switzerland, pp. 663-673. ISBN 978-3-319-16840-1 (print); 978-3-319-16841-8 (online)
|
PDF
fkp-2015-zahari-Landmark Tracking Using Unrectified.pdf Download (37kB) | Preview |
Abstract
In this paper, a study on landmark tracking using unrectified omnidirectional image for automated guided vehicle is presented. Omnidirectional image from a catadioptric camera may appear distorted against the height of an object. However, for a flat object on the floor, the distortion is negligible thus can be advantageous for on-the-ground landmark; Landmark used in this study was Code-128 standard barcode. The barcode is modified to suit the detection process where the barcode adopted cyan instead of white background and bears a red strip on top for orientation. The image processing can directly begin tracking landmarks when no distortion rectification in the image was required. We adopted a topological map approach where the automated guided vehicle moves from landmark to landmark. Experiments were conducted on a small four wheel drive, four wheel steering automated guided vehicle. The results were measured through number of successful consequent tracking of the landmark.
| Item Type: | Book Chapter |
|---|---|
| Uncontrolled Keywords: | Computational Intelligence; Artificial Intelligence; International Sports Law |
| Subjects: | T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Manufacturing Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 14 May 2015 01:43 |
| Last Modified: | 22 Jan 2018 05:51 |
| URI: | http://umpir.ump.edu.my/id/eprint/9118 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |