Name
Title | ||
|---|---|---|
Selection Of Sources As A Prerequesite For Information Fusion With Application To Slam |
Abstract | ||
|---|---|---|
We consider in this work evidential sources of information and propose a very general Evidence Supporting Measure of Similarity (ESMS) for selecting the most coherent subset of sources to combine among all sources available at each instant. The methodology proposed here coupled with a DSmT-based fusion machine is tested in robotics for the automatic estimation of an unknown simulated environment with obstacles where an autonomous mobile Pioneer II robot with sonar sensors evolves. Our simulation results am based on the fusion of similar and equireliable sensors but same approach can also be used with dissimilar sources as well by using a discounting method taking into account the reliability of each sensor. Our results show clearly the benefit of the selection of the sources as prerequesite for improvement of information fusion. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICIF.2006.301795 | 2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 |
Keywords | Field | DocType |
source selection, information fusion, evidence supporting measure of similarity (ESMS), DSmT, self localization and mapping (SLAM) | Intelligent control,Computer vision,Computer science,Sensor fusion,Sonar,Artificial intelligence,Robot,Case-based reasoning,Simultaneous localization and mapping,Machine learning,Mobile robot,Robotics | Conference |
Volume | Issue | Citations |
null | null | 5 |
PageRank | References | Authors |
0.48 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinde Li | 1 | 50 | 11.00 |
| Jean Dezert | 2 | 777 | 61.59 |
| Xinhan Huang | 3 | 114 | 19.04 |