Name
Abstract | ||
|---|---|---|
Dynamically changing environments, unreliable state estimation, and operation under severe resource constraints are fundamental challenges that limit the deployment of small autonomous drones. We address these challenges in the context of autonomous, vision-based drone racing in dynamic environments. A racing drone must traverse a track with possibly moving gates at high speed. We enable this func... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TRO.2019.2942989 | IEEE Transactions on Robotics |
Keywords | DocType | Volume |
Drones,Navigation,Trajectory,State estimation,Training,Robot sensing systems | Journal | 36 |
Issue | ISSN | Citations |
1 | 1552-3098 | 7 |
PageRank | References | Authors |
0.51 | 32 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Loquercio | 1 | 58 | 5.43 |
| Elia Kaufmann | 2 | 14 | 5.03 |
| Rene Ranftl | 3 | 646 | 29.52 |
| Alexey Dosovitskiy | 4 | 1797 | 80.48 |
| Vladlen Koltun | 5 | 4064 | 162.63 |
| Davide Scaramuzza | 6 | 2704 | 154.51 |