Results 71 to 80 of about 19,071 (209)
Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance
The unscented Kalman filter (UKF) is widely used to address the nonlinear problems in target tracking. However, this standard UKF shows unstable performance whenever the noise covariance mismatches.
Baoshuang Ge +4 more
doaj +1 more source
Vehicle Target Tracking Algorithm Based on Improved Strong Tracking Unscented Kalman Filter
The tracking accuracy of the traditional Strong Tracking Unscented Kalman Filter algorithm (ST-UKF) decreases when the motion state of the traffic target changes significantly.
Feng Tian +3 more
doaj +1 more source
An attempt at a typology of Slovak baroque literature [PDF]
The article is a part of wider work which attempts at offering the typology of Slovak Literary Baroque. From a typological point of view it stresses first of all the importance of legend, sermon, drama, spiritual poetry and mostly those genres in which ...
Marta Keruľová
doaj
Barborík, Vladimír – Bystrzak, Magdalena: Modernization by criticism: Hamaliar, Chorváth, Bor, Matuška [PDF]
Barborík, Vladimír – Bystrzak, Magdalena: Modernization by criticism: Hamaliar, Chorváth, Bor ...
Dušan Teplan
doaj +1 more source
State-Space Inference and Learning with Gaussian Processes
State-space inference and learning with Gaussian processes (GPs) is an unsolved problem. We propose a new, general methodology for inference and learning in nonlinear state-space models that are described probabilistically by non-parametric GP models. We
Deisenroth, MP, Rasmussen, CE, Turner, R
core
Quality-Aware Broadcasting Strategies for Position Estimation in VANETs
The dissemination of vehicle position data all over the network is a fundamental task in Vehicular Ad Hoc Network (VANET) operations, as applications often need to know the position of other vehicles over a large area.
Chiariotti, Federico +4 more
core
A Dual Forgetting Factor-Based Adaptive IMM-UKF Algorithm for Vehicle Tracking
In response to the limitations of the traditional Interacting Multiple Model Unscented Kalman Filter (IMM-UKF) in high-noise environments—particularly its insufficient tracking accuracy and poor adaptability of the noise covariance matrices—
Jiaye Xie
doaj +1 more source
Literary accents on the subject of imitation - allusion - plagiarism [PDF]
Tatiana Koniarová, Martina Zajíčková
doaj

