Abstract | ||
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Past few years have witnessed the widespread adoption of unmanned aerial vehicles (UAVs) in target tracking for regional monitor and strike. Most existing target tracking approaches rely on the target motion frames obtained by the camera equipped, or on ideally assuming a pre-set target trajectory. However, in practice, the real trajectory of the target cannot be perfectly known to the UAVs in adv... |
Year | DOI | Venue |
---|---|---|
2022 | 10.1109/TVT.2021.3129504 | IEEE Transactions on Vehicular Technology |
Keywords | DocType | Volume |
Target tracking,Reinforcement learning,Unmanned aerial vehicles,Cameras,Real-time systems,Sensors,Radar | Journal | 71 |
Issue | ISSN | Citations |
1 | 0018-9545 | 1 |
PageRank | References | Authors |
0.35 | 0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhaoyue Xia | 1 | 1 | 1.02 |
Jun Du | 2 | 21 | 5.67 |
Jingjing Wang | 3 | 373 | 33.83 |
Chunxiao Jiang | 4 | 2064 | 161.92 |
Yong Ren | 5 | 1044 | 99.99 |
Gang Li | 6 | 298 | 51.27 |
Zhu Han | 7 | 11215 | 760.71 |