Results 151 to 160 of about 9,465 (199)

A TCN-BiLSTM and ANR-IEKF Hybrid Framework for Sustained Vehicle Positioning During GNSS Outages. [PDF]

Sensors (Basel)
Niu S, Li J, Hu C, Li J, Zhang D, Feng K.   +5 more
europepmc   +1 more source

Local Linear Wavelet Neural Network-Based Unscented Kalman Filter for Vehicle Collision Estimate Warning System and Ensuring Stable Vehicle-to-Infrastructure Communication. [PDF]

Appl Bionics Biomech
Lema YK, Mishra S, Gelmecha DJ.
europepmc   +1 more source

Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems. [PDF]

Sensors (Basel)
Han B, Ge Z, Su Z, Hao J.
europepmc   +1 more source

State estimation in an islanded hybrid solar-wind DC microgrid using Unscented Kalman Filter. [PDF]

Heliyon
HajiHeydari Varnoosfaderani N, Khorsandi A.   +1 more
europepmc   +1 more source

An Adaptive Spatial Target Tracking Method Based on Unscented Kalman Filter. [PDF]

Sensors (Basel)
Rong D, Wang Y.
europepmc   +1 more source

Optimal LQG controller design for inverted pendulum systems using a comprehensive approach. [PDF]

Sci Rep
Rani M, Kamlu SS.
europepmc   +1 more source

GP-UKF: Unscented kalman filters with Gaussian process prediction and observation models

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007
This paper considers the use of non-parametric system models for sequential state estimation. In particular, motion and observation models are learned from training examples using Gaussian process (GP) regression. The state estimator is an unscented Kalman filter (UKF). The resulting GP-UKF algorithm has a number of advantages over standard (parametric)
Jonathan Ko, Daniel J. Klein, Dieter Fox, Dirk Haehnel   +3 more
openalex   +2 more sources

The unscented Kalman filter (UKF)-based algorithm for regional frequency analysis of extreme rainfall events in a nonstationary environment

Journal of Hydrology, 2020
Abstract In regional frequency analysis, extreme rainfall patterns in a nonstationary environment are characterized by the time-dependent regional growth curves, in which location and scale parameters are the weighted values of at-site estimates from the sites within a homogeneous group.
Zhe Yang
openalex   +2 more sources