Results 111 to 120 of about 9,465 (199)

Unscented Kalman Filter Based Attitude Estimation of a Quadrotor

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Quadrotors are well - known unmanned aerial vehicle structures that have some advantages such as hovering, vertical take – off and landing, and low – speed flight. On the other hand, quadrotors are subjected to modeling and sensor uncertainties that lead
Aziz Kaba
doaj  

Online Discrimination of Nonlinear Dynamics with Switching Differential Equations

, 2012
How to recognise whether an observed person walks or runs? We consider a dynamic environment where observations (e.g. the posture of a person) are caused by different dynamic processes (walking or running) which are active one at a time and which may ...
Bitzer, Sebastian, Kiebel, Stefan J., Yildiz, Izzet B.   +2 more
core  

The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error

IEEE Access
Although the Unscented Kalman Filter (UKF) generally outperforms the Extended Kalman Filter (EKF) due to its superior approximation of nonlinear state transition functions, the core Unscented Transform (UT) still cannot precisely capture complex ...
Ziran Luo, Chenglin Wen
doaj   +1 more source

Comparison of Nonlinear Filtering Techniques for Lunar Surface Roving Navigation [PDF]

Leading up to the Apollo missions the Extended Kalman Filter, a modified version of the Kalman Filter, was developed to estimate the state of a nonlinear system.
Kimber, Lemon, Welch, Bryan W.
core   +1 more source

The Unscented Kalman Filter (UKF) [PDF]

, 2008
Mohamed Najim, S Julier, J Uhlmann, H Durrant-Whyte   +3 more
openalex   +1 more source

CAT-GAN-UKF: category-aware online adaptive unscented kalman filtering for trajectory-level multi-object state estimation [PDF]

Lior Tobaly, Eyal Yaniv, Zeev Zalevsky
openalex   +1 more source

EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING

Научный вестник МГТУ ГА, 2016
The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the
I. A. Kudryavtseva
doaj  

Unscented Kalman Filter for Determination of Spacecraft Attitude Using Different Attitude Parameterizations and Real Data

Journal of Aerospace Technology and Management, 2016
The non-linear estimators are certainly the most important algorithms applied to real problems, especially those involving the attitude estimation of spacecraft.
Roberta Veloso Garcia, Hélio Koiti Kuga, Maria Cecília F. P. S. Zanardi   +2 more
doaj  

Unscented Kalman filter (UKF) based nonlinear parameter estimation for a turbulent boundary layer: a data assimilation framework

, 2019
Zhao Pan, Yang Zhang, Jonas Gustavsson, Jean-Pierre Hickey, Louis N. Cattafesta   +4 more
openalex   +1 more source

Vehicle Sideslip Angle Estimation Using Deep Reinforcement Learning Combined with Unscented Kalman Filter. [PDF]

Sensors (Basel)
Wu L, Wang W, Li P, Zhu Y.
europepmc   +1 more source