Name
Abstract | ||
|---|---|---|
In recent years, vision-aided inertial odometry for state estimation has matured significantly. However, we still encounter challenges in terms of improving the computational efficiency and robustness of the underlying algorithms for applications in autonomous flight with microaerial vehicles, in which it is difficult to use high-quality sensors and powerful processors because of constraints on si... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2018.2793349 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Cameras,Robustness,Visualization,Quaternions,Covariance matrices,Kalman filters,Real-time systems | Journal | 3 |
Issue | ISSN | Citations |
2 | 2377-3766 | 15 |
PageRank | References | Authors |
0.59 | 17 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Sun | 1 | 57 | 5.33 |
| Kartik Mohta | 2 | 202 | 12.46 |
| Bernd Pfrommer | 3 | 15 | 1.27 |
| Michael Watterson | 4 | 57 | 3.89 |
| Sikang Liu | 5 | 59 | 3.93 |
| Yash Mulgaonkar | 6 | 238 | 13.90 |
| Camillo J. Taylor | 7 | 2889 | 403.50 |
| Vijay Kumar | 8 | 7086 | 693.29 |