Advances, Systems and Applications
Method | Contribution |
---|---|
AFKF [16] | weighted coefficient |
Improved AFKF [17] | factors adjusted automatically |
Transfer alignment [18] | divided the high-dimensional state vector into two parts |
Improved covariance [19] | derived a real-time estimates of improved covariance |
SINS/GPS/CNS/Radar integrated system [11] | calculated the state parameters with dual-state detection |
Joint filter to fuse data [20] | INS/CNS/DVL combined system |
Federated unscented Kalman filter [21] | with different vehicle motion models to estimate |
Federated hybrid filter [22] | utilizes a minimum variance criterion to fuse |
An adaptive filter [23] | conquer the performance degradation |
Federated filter with a feedback scheme [24] | GNSS/INS/visual odometry combined positioning system |
Federated Kalman filter for indoor positioning | distance is estimated through RSS |