Name
Abstract | ||
|---|---|---|
Data fusion is an effective tool to improve the localization precision of a mobile robot. This paper presents a new algorithm to improve the precision of robot localization by fusing data from three kinds of sensors: encoders, a gyroscope and a camera. In the data fusion process, the camera is used as a visual protractor, which is a simple and robust way to process vision information but plays an important role in reducing the errors of localization in high slip-rate cases. An experiment of mobile robot localization is designed to test the efficiency of the algorithm. In this experiment, the localization precision of robots can be improved almost 400% when visual protractor is introduced. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISDA.2006.53 | ISDA (3) |
Keywords | Field | DocType |
data fusion,sensor fusion,mobile robots,mobile robot | Computer vision,Robot control,Gyroscope,Computer science,Algorithm,Sensor fusion,Artificial intelligence,Encoder,Mobile robot navigation,Robot,Mobile robot,Protractor | Conference |
Volume | Issue | ISBN |
3 | null | 0-7695-2528-8 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Chen | 1 | 38 | 12.15 |
| Xuening Wang | 2 | 21 | 2.04 |
| Tao Wu | 3 | 0 | 0.34 |
| Xin Xu | 4 | 1365 | 100.22 |