Name
Abstract | ||
|---|---|---|
With a large body of literature dedicated to ego-motion estimation and perception of a robot's workspace, the robotics community has seen some impressive advances in self-localization and mapping, however, we are still far from general applicability of such approaches in real scenarios. Driven by the need for portable and low-cost solutions to relative pose estimation between unmanned aerial vehic... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2018.2837687 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Pose estimation,Cameras,Unmanned aerial vehicles,Robustness,Simultaneous localization and mapping | Computer vision,Workspace,Sensor fusion,Control engineering,Pose,Robustness (computer science),Artificial intelligence,Engineering,Fuse (electrical),Robot,Simultaneous localization and mapping,Robotics | Journal |
Volume | Issue | ISSN |
3 | 4 | 2377-3766 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Teixeira | 1 | 30 | 6.93 |
| Fabiola Maffra | 2 | 1 | 0.36 |
| Marco Moos | 3 | 1 | 0.36 |
| Margarita Chli | 4 | 1283 | 53.59 |