Name
Abstract | ||
|---|---|---|
Pose estimation has many applications in robotics, such as robot localization using a vision sensor, or position-based visual servoing. In this paper, a simple but an efficient pose estimation method from minimal point pairs is given. The method we propose is based on exhaustive optimization of only two most critical parameters. It allows to solve the local minima problem. The both model based and free model pose estimation are treated. Finally, simulation results are given to validate the proposed method. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ROBOT.2006.1642276 | 2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10 |
Keywords | Field | DocType |
image sensors,path planning,motion estimation,pose estimation,robots,local minima,visual servoing | Motion planning,Computer vision,3D pose estimation,Pose,Maxima and minima,Control engineering,Visual servoing,Artificial intelligence,Engineering,Motion estimation,Robot,Robotics | Conference |
Volume | Issue | ISSN |
2006 | 1 | 1050-4729 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Tahri | 1 | 121 | 14.56 |
| Christophe Leroux | 2 | 24 | 4.40 |
| Jean-marc Alexandre | 3 | 9 | 1.86 |