Name
Abstract | ||
|---|---|---|
The linear opinion pool (LinOP) provides a potential solution to the problem of information fusion. However, the LinOP cannot be directly applied to multi-object fusion since the resulting fused multi-object density, in general, no longer belongs to the same family of the local ones, thus it cannot be utilized as prior information for the next recursion in Bayesian multi-object filtering. In this ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LSP.2019.2963817 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Radio frequency,Probability density function,Peer-to-peer computing,Nickel,Wireless sensor networks,Minimization,Bayes methods | Information loss,Pattern recognition,Filter (signal processing),Covariance intersection,Fusion,Sensor fusion,Artificial intelligence,Recursion,Kullback–Leibler divergence,Mathematics,Bayesian probability | Journal |
Volume | ISSN | Citations |
27 | 1070-9908 | 1 |
PageRank | References | Authors |
0.36 | 20 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Gao | 1 | 21 | 5.04 |
| Giorgio Battistelli | 2 | 17 | 2.95 |
| Luigi Chisci | 3 | 474 | 52.30 |