Name
Abstract | ||
|---|---|---|
We propose a solution of the multiple target tracking (MTT) problem based on sets of trajectories and the random finite set framework. A full Bayesian approach to MTT should characterize the distribution of the trajectories given the measurements, as it contains all information about the trajectories. We attain this by considering multiobject density functions in which objects are trajectories. Fo... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TAES.2019.2921210 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Trajectory,Target tracking,Radio frequency,Bayes methods,Current measurement,Radar tracking,Urban areas | Finite set,Pattern recognition,Computer science,Artificial intelligence,Bayesian probability | Journal |
Volume | Issue | ISSN |
56 | 3 | 0018-9251 |
Citations | PageRank | References |
5 | 0.43 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angel F. Garcia-Fernandez | 1 | 131 | 18.15 |
| Lennart Svensson | 2 | 385 | 43.46 |
| Mark R. Morelande | 3 | 195 | 24.96 |