Device-Free Tracking through Self-Attention Mechanism and Unscented Kalman Filter with Commodity Wi-Fi. [PDF]
Nkabiti KP, Chen Y.
europepmc +1 more source
Parameter Estimation of Nonlinear Structural Systems Using Bayesian Filtering Methods
This paper examines the performance of Bayesian filtering system identification in the context of nonlinear structural and mechanical systems. The objective is to assess the accuracy and limitations of the four most well-established filtering-based ...
Kalil Erazo
doaj +1 more source
Application of minimum error entropy unscented Kalman filter in table tennis trajectory prediction. [PDF]
Luo S, Niu J, Zheng P, Jing Z.
europepmc +1 more source
Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF
The underwater equipment carried by the East China Sea seabed observation network is often lost due to human activities. When solving the trajectory of underwater equipment by inertial navigation, the noise caused by the complex ocean environment and ...
CHEN Ziyue, JI Fuwu, ZHOU Wei
doaj
A real-time prediction interval correction method with an unscented Kalman filter for settlement monitoring of a power station dam. [PDF]
Zhou T, Jie Y, Wei Y, Zhang Y, Chen H.
europepmc +1 more source
Unscented Kalman filter for airship model uncertainties and wind disturbance estimation. [PDF]
Wasim M +5 more
europepmc +1 more source
An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data. [PDF]
Papageorgiou VE, Tsaklidis G.
europepmc +1 more source
Unscented Kalman Filter-Based Robust State and Parameter Estimation for Free Radical Polymerization of Styrene with Variable Parameters. [PDF]
Zhang Z, Zhang Z, Hong Z.
europepmc +1 more source
MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking. [PDF]
Piga NA +5 more
europepmc +1 more source
Adaptive Unscented Kalman Filter for Target Tacking with Time-Varying Noise Covariance Based on Multi-Sensor Information Fusion. [PDF]
Wang D, Zhang H, Ge B.
europepmc +1 more source

