Name
Title | ||
|---|---|---|
Distributed Multi-sensor Multi-view Fusion based on Generalized Covariance Intersection. |
Abstract | ||
|---|---|---|
•Multi-target tracking using multiple sensors having different fields of view.•Fusion of the posterior Probability Hypotheses Densities of the sensors.•Robust distributed fusion based on generalized covariance intersection.•A clustering algorithm is used to derive an efficent parallelized fusion strategy.•Compensation strategy to preserve targets outside the common field of view. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.sigpro.2019.107246 | Signal Processing |
Keywords | Field | DocType |
Multi-target tracking,Multi-view sensors,Fields-of-view,GCI fusion,Clustering algorithm,GM-PHD filter | Compensation strategy,Cluster (physics),Mathematical optimization,Fusion,Algorithm,Covariance intersection,Posterior probability,Gaussian,Cluster analysis,Mathematics | Journal |
Volume | ISSN | Citations |
166 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 17 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guchong Li | 1 | 7 | 1.79 |
| Giorgio Battistelli | 2 | 17 | 2.95 |
| Wei Yi | 3 | 252 | 36.97 |
| Lingjiang Kong | 4 | 23 | 5.09 |