Kalman滤波 Resources

Showing items tagged with "Kalman滤波"

MATLAB implementation of the Interactive Multiple Model algorithm featuring left-turn, right-turn, and constant-velocity motion models. Utilizes Kalman filtering for state prediction and estimation, with comprehensive error evaluation metrics and visualization results. Designed for target tracking applications with position-velocity state space representation. Includes modules for moving target tracking, model transition probability updates, and Kalman filter implementations.

MATLAB 248 views Tagged
Download

A teaching assignment from the University of Washington's robotics course serves as an excellent simulation platform for learning Kalman filters and particle filters. With minor modifications, this platform can be adapted for studying SLAM (Simultaneous Localization and Mapping), multi-target tracking, and related problems. The implementation includes MATLAB/Python simulation frameworks with modular design for filter algorithms, measurement models, and process noise handling. Deep exploration yields significant returns, with detailed algorithm implementations available in our EKF-SLAM and Fast-SLAM repositories featuring covariance prediction-update cycles and particle weight resampling mechanisms.

MATLAB 264 views Tagged
Download

Kalman filter source code primarily designed for target prediction in motion tracking applications, currently available in MATLAB with detailed implementation notes

MATLAB 238 views Tagged
Download

Implementation of Kalman filter, Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Interacting Multiple Model (IMM) based on EKF-UKF hybrid approach, with supporting Rauch-Tung-Striebel and two-filter smoothing tools - a comprehensive and practical framework

MATLAB 229 views Tagged
Download