Name
Title | ||
|---|---|---|
Computationally Efficient Distributed Multi-Sensor Fusion With Multi-Bernoulli Filter. |
Abstract | ||
|---|---|---|
This paper proposes a computationally efficient algorithm for distributed fusion in a sensor network in which multi-Bernoulli (MB) filters are locally running in every sensor node for multi-object tracking. The generalized Covariance Intersection (GCI) fusion rule is employed to fuse multiple MB random finite set densities. The fused density comprises a set of fusion hypotheses that grow exponenti... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSP.2019.2957638 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Clustering algorithms,Approximation algorithms,Signal processing algorithms,Mathematical model,Radio frequency,Radar tracking,Fuses | Approximation algorithm,Mathematical optimization,Algorithm,Metric (mathematics),Fusion,Covariance intersection,Sensor fusion,Gaussian,Cluster analysis,Mathematics,Bernoulli's principle | Journal |
Volume | ISSN | Citations |
68 | 1053-587X | 0 |
PageRank | References | Authors |
0.34 | 24 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Yi | 1 | 252 | 36.97 |
| suqi li | 2 | 37 | 3.92 |
| bailu wang | 3 | 37 | 3.92 |
| Reza Hoseinnezhad | 4 | 431 | 43.15 |
| Lingjiang Kong | 5 | 34 | 9.97 |