Name
Abstract | ||
|---|---|---|
This paper describes a robust localization system, similar to the used by the teams participating in the Robocup Small size league (SLL). The system, developed in Object Pascal, allows real time localization and control of an autonomous omnidirectional mobile robot. The localization algorithm is done resorting to odometry and global vision data fusion, applying an extended Kalman filter, being this method a standard approach for reducing the error in a least squares sense, using measurements from different sources. |
Year | Venue | Keywords |
|---|---|---|
2008 | ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-2: ROBOTICS AND AUTOMATION, VOL 2 | probabilistic robotics, Kalman filter, onmidirectional robots |
Field | DocType | Citations |
Computer vision,Extended Kalman filter,Alpha beta filter,Fast Kalman filter,Odometry,Tracking system,Sensor fusion,Control engineering,Artificial intelligence,Engineering,Robot,Invariant extended Kalman filter | Conference | 1 |
PageRank | References | Authors |
0.37 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| JosÉ A. Goncalves | 1 | 40 | 6.57 |
| José Lima | 2 | 28 | 7.87 |
| Paulo Costa | 3 | 38 | 12.53 |