Results 141 to 150 of about 5,324 (208)

Adaptive augmented cubature Kalman filter/smoother for ECG denoising. [PDF]

Biomed Eng Lett
Hesar HD, Hesar AD.
europepmc   +1 more source

An Improved Variational Bayesian-Based Adaptive Federated Kalman Filter for Multi-Sensor Integrated Navigation Systems. [PDF]

Sensors (Basel)
Yan Y, Yang J.
europepmc   +1 more source

Seamless Micro-Electro-Mechanical System-Inertial Navigation System/Polarization Compass Navigation Method with Data and Model Dual-Driven Approach. [PDF]

Micromachines (Basel)
Zhao H, Shen C, Cao H, Chen X, Wang C, Huang H, Li J.   +6 more
europepmc   +1 more source

Fuzzy Logic-Based Adaptive Filtering for Transfer Alignment. [PDF]

Sensors (Basel)
Gao Z, Yang J, Gu C, Zhong Y.
europepmc   +1 more source

A Kalman Filter-Based Localization Calibration Method Optimized by Reinforcement Learning and Information Matrix Fusion. [PDF]

Entropy (Basel)
Huang Z, Xu Q, Sun M, Zhu X.
europepmc   +1 more source

[Cubature measurement of teeth].

Fogorvosi szemle, 2007
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3D Multi-Object Tracking With Adaptive Cubature Kalman Filter for Autonomous Driving

IEEE Transactions on Intelligent Vehicles, 2023
A crucial and challenging issue in autonomous driving is dynamic road environment detection and 3D multi object tracking. In this article, we propose a novel framework for online 3D multi-object tracking to eliminate the influence of inherent uncertainty
Ge Guo, Shijie Zhao
semanticscholar   +1 more source

Seamless GPS/Inertial Navigation System Based on Self-Learning Square-Root Cubature Kalman Filter

IEEE transactions on industrial electronics (1982. Print), 2021
To improve the seamless navigation ability of an integrated Global Positioning System (GPS)/inertial navigation system in GPS-denied environments, a hybrid navigation strategy called the self-learning square-root- cubature Kalman filter (SL-SRCKF) is ...
Chong Shen, Yu Zhang, Xiaoting Guo, Xiyuan Chen, Huiliang Cao, Jun Tang, Jie Li, Jun Liu   +7 more
semanticscholar   +1 more source

A Stochastic Event-Triggered Robust Cubature Kalman Filtering Approach to Power System Dynamic State Estimation With Non-Gaussian Measurement Noises

IEEE Transactions on Control Systems Technology, 2023
In power system communication and control, the wide-area measurement system (WAMS) is usually adversely affected by noisy measurements and data congestion, posing great challenges to the stability and functionality of modern power grids.
Zhuguo Li, Sen Li, Bin Liu, S. Yu, Peng Shi   +4 more
semanticscholar   +1 more source

An Adaptive Robust Cubature Kalman Filter Based on Sage-Husa Estimator for Improving Ship Heave Measurement Accuracy

IEEE Sensors Journal, 2023
High-pass and Kalman filtering are two digital filtering methods for ship heave acceleration signals. However, the traditional Kalman method has dynamic model errors due to the dependence on the fast Fourier transform (FFT) identification model.
Tao Zou, Weixiang Zeng, Wenlin Yang, M. Ong, Yunting Wang, Weilun Situ   +5 more
semanticscholar   +1 more source