Name
Title | ||
|---|---|---|
Robust Vision-Aided Inertial Navigation System for Protection Against Ego-Motion Uncertainty of Unmanned Ground Vehicle |
Abstract | ||
|---|---|---|
The vision-aided inertial navigation system is of vital importance and great urgency to guarantee accurate and reliable navigation information for unmanned ground vehicles (UGV) in Global Navigation Satellite System-challenged/denied environments. Yet, it is almost inevitable to occur unpredictable stochastic disturbances caused by ego-motion uncertainty due to uneven pavements, unstructured and d... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TIE.2020.3044802 | IEEE Transactions on Industrial Electronics |
Keywords | DocType | Volume |
Cameras,Uncertainty,Global navigation satellite system,Kalman filters,Inertial navigation,Adaptation models,Computational modeling | Journal | 68 |
Issue | ISSN | Citations |
12 | 0278-0046 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaoyang Zhai | 1 | 0 | 0.34 |
| Meiling Wang | 2 | 9 | 7.60 |
| Yi Yang | 3 | 277 | 61.06 |
| Kai Shen | 4 | 2 | 2.05 |