Name
Abstract | ||
|---|---|---|
In this paper, we propose a robust method for the process of localization of a mobile robotthrough a vision system. The mobile robot is a compact system consisting of an embedded board and a fish-eye camera. The fish-eye camera looks upward to capture ceiling images. The camera provides a sequence of images for the process of detection and tracking ceiling features. These features are used like natural landmarks to detect the state of translation and rotation of the robot. Our method requires less computational power and resources for a robot, and thus can be used at home. The results produced in this study showed the advantages of our method in terms of both speed and accuracy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73729-2_40 | MDAI |
Keywords | Field | DocType |
fish-eye camera,ceiling image,robust localization method,mobile robot,embedded board,robust method,ceiling feature,ceiling landmarks,vision system,computational power,mobile robotthrough,compact system | Scale-invariant feature transform,Computer vision,Machine vision,Computer science,Smart camera,Ceiling (aeronautics),Artificial intelligence,Mobile robot navigation,Robot,Monte Carlo localization,Mobile robot | Conference |
Volume | ISSN | Citations |
4617 | 0302-9743 | 2 |
PageRank | References | Authors |
0.44 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Viet Thang Nguyen | 1 | 6 | 2.32 |
| Moon Seok Jeong | 2 | 2 | 0.78 |
| Sung Mahn Ahn | 3 | 2 | 1.45 |
| Seung Bin Moon | 4 | 2 | 0.44 |
| Sung Wook Baik | 5 | 960 | 57.77 |