Name
Abstract | ||
|---|---|---|
In this article, we propose a novel deep reinforcement learning (DRL) approach for controlling multiple unmanned aerial vehicles (UAVs) with the ultimate purpose of tracking multiple first responders (FRs) in challenging 3-D environments in the presence of obstacles and occlusions. We assume that the UAVs receive noisy distance measurements from the FRs which are of two types, i.e., Line of Sight ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JIOT.2021.3073973 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Target tracking,Unmanned aerial vehicles,Reinforcement learning,Navigation,Location awareness,Time measurement,State estimation | Journal | 8 |
Issue | ISSN | Citations |
20 | 2327-4662 | 2 |
PageRank | References | Authors |
0.42 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiseon Moon | 1 | 2 | 1.10 |
| Savvas Papaioannou | 2 | 6 | 3.55 |
| Christos Laoudias | 3 | 356 | 21.90 |
| Panayiotis Kolios | 4 | 95 | 25.07 |
| Sunwoo Kim | 5 | 2 | 1.43 |