Cargando…
Accurate Attitude Estimation Using ARS under Conditions of Vehicle Movement Based on Disturbance Acceleration Adaptive Estimation and Correction
This paper describes a disturbance acceleration adaptive estimate and correction approach for an attitude reference system (ARS) so as to improve the attitude estimate precision under vehicle movement conditions. The proposed approach depends on a Kalman filter, where the attitude error, the gyrosco...
Autores principales: | Xing, Li, Hang, Yijun, Xiong, Zhi, Liu, Jianye, Wan, Zhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087503/ https://www.ncbi.nlm.nih.gov/pubmed/27754469 http://dx.doi.org/10.3390/s16101716 |
Ejemplares similares
-
IMU-Based Automated Vehicle Slip Angle and Attitude Estimation Aided by Vehicle Dynamics †
por: Xiong, Lu, et al.
Publicado: (2019) -
Estimation of Vehicle Attitude, Acceleration, and Angular Velocity Using Convolutional Neural Network and Dual Extended Kalman Filter
por: Ok, Minseok, et al.
Publicado: (2021) -
Attitude Estimation of Underwater Vehicles Using Field Measurements and Bias Compensation
por: Ko, Nak Yong, et al.
Publicado: (2019) -
A Model-Based Method for Estimating the Attitude of Underground Articulated Vehicles
por: Gao, Lulu, et al.
Publicado: (2019) -
GMM-Based Adaptive Extended Kalman Filter Design for Satellite Attitude Estimation under Thruster-Induced Disturbances
por: Kim, Taeho, et al.
Publicado: (2023)