Development of Steady Aiming System Based on Kalman Filter and Coordinate Transformation
The aiming accuracy of the Unmanned Aerial Vehicles (UAV) Steadicam head can be affected by many factors, such as the state of the UAV during the actual flight and the installation error of the system related hardware. In order to eliminate the influence of objective factors on the UAV Steadicam, a...
Main Authors: | Yufang Lu, Lisha Meng, Haihua Tang, Lei Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10160027/ |
Similar Items
-
Estimating correlated observation error statistics using an ensemble transform Kalman filter
by: Joanne A. Waller, et al.
Published: (2014-09-01) -
Derivation of All Attitude Error Governing Equations for Attitude Filtering and Control
by: Ahmad Bani Younes, et al.
Published: (2019-10-01) -
Heading Estimation with Real-time Compensation Based on Kalman Filter Algorithm for an Indoor Positioning System
by: Xin Li, et al.
Published: (2016-06-01) -
Some quantitative characteristics of error covariance for Kalman filters
by: Wei Kang, et al.
Published: (2021-01-01) -
On the statistical convergence of bias in mode-based Kalman filter for switched systems
by: Wenji Zhang, et al.
Published: (2018-11-01)