Frontiers

A Differentiable Extended Kalman Filter for Object Tracking Under Sliding Regime

Tactile sensing represents a valuable source of information in robotics for perception of the state of objects and their properties.
IEEE

Cubature Kalman Filtering for Nonlinear Systems With Energy Harvesting Sensors Under Probabilistic Quantization Effects

Abstract: In this article, the problem of cubature Kalman filtering (CKF) is investigated for a class of nonlinear systems, which ...
Scientific Research Publishing

Research on Vehicle Tracking Method Based on YOLOv8 and Adaptive Kalman Filtering: Integrating SVM Dynamic Selection and Error Feedback Mechanism ()

1 School of Computer Science, Sichuan University Jinjiang College, Meishan, China. 2 School of Automotive and Transportation ...
IEEE

Kalman Filtering With Queued Measurements Under Non-Gaussian Noisy Environment

Abstract: The Kalman filter is a widely used computational tool for estimating unknown internal states of dynamical systems using ...
Frontiers

A novel adaptive Gaussian sum cubature Kalman filter with time-varying non-Gaussian noise for GNSS/SINS tightly coupled integrated navigation system

The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter ...
GitHub

Sarveshkhire001/Advanced-State-Estimation-using-Kalman-Filtering

This project implements and demonstrates various Kalman filtering techniques for state estimation in dynamic systems, with a ...
GitHub

RT-KalmanNet: A Robust Tailored Neural Network Aided Kalman Filtering Approach

The well-known SOTA model for non-linear state estimation is the Extended Kalman Filter [1–3]. However, if the knowledge of the ...