Name
Abstract | ||
|---|---|---|
The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate, and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time or at different times. A suitable combination of investigative methods can substantially increase the profit of information in comparison with that from a single sensor. Multi-sensor information fusion has been a key issue in sensor research since the 1970s, and it has been applied in many fields. For example, manufacturing and process control industries can generate a lot of data, which have real, actionable business value. The fusion of these data can greatly improve productivity through digitization. The goal of this special issue is to report innovative ideas and solutions for multi-sensor information fusion in the emerging applications era, focusing on development, adoption, and applications. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/s18041162 | SENSORS |
Field | DocType | Volume |
Digitization,Business value,Systems engineering,Fusion,Electronic engineering,Process control,Engineering,Information fusion | Journal | 18 |
Issue | ISSN | Citations |
4.0 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue-bo Jin | 1 | 13 | 6.67 |
| Shuli Sun | 2 | 734 | 52.41 |
| Hong Wei | 3 | 6 | 2.08 |
| Fengbao Yang | 4 | 0 | 0.34 |