Name
Abstract | ||
|---|---|---|
In this letter we propose a tightly-coupled Extended Kalman Filter framework for IMU-only state estimation. Strap-down IMU measurements provide relative state estimates based on IMU kinematic motion model. However the integration of measurements is sensitive to sensor bias and noise, causing significant drift within seconds. Recent research by Yan et al. (RoNIN) and Chen et al. (IONet) showed the ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LRA.2020.3007421 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Localization,AI-based methods,pedestrian dead reckoning,inertial state estimation | Journal | 5 |
Issue | ISSN | Citations |
4 | 2377-3766 | 4 |
PageRank | References | Authors |
0.44 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenxin Liu | 1 | 63 | 11.65 |
| David Caruso | 2 | 4 | 0.44 |
| Eddy Ilg | 3 | 4 | 0.44 |
| Jing Dong | 4 | 4 | 1.11 |
| Anastasios I. Mourikis | 5 | 1018 | 57.50 |
| Konstantinos Daniilidis | 6 | 3122 | 255.45 |
| Vijay Kumar | 7 | 7086 | 693.29 |
| Jakob Engel | 8 | 906 | 30.16 |