There are 6 repositories under extended-kalman-filter topic.
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
State estimation, smoothing and parameter estimation using Kalman and particle filters.
State estimation and filtering algorithms in Go
A compact Extended Kalman Filter (EKF) library for real time embedded system (with template for Teensy4/Arduino and STM32CubeIDE)
This is an open source Kalman filter C++ library based on Eigen3 library for matrix operations. The library has generic template based classes for most of Kalman filter variants including: (1) Kalman Filter, (2) Extended Kalman Filter, (3) Unscented Kalman Filter, and (4) Square-root UKF..
Self-position estimation by eskf by measuring gnss and imu
Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.
3D Pose Estimation of the Planar Robot Using Extended Kalman Filter
Maximum Correntropy Kalman Filter
Modified Extended Kalman Filter with generalized exponential Moving Average and dynamic Multi-Epoch update strategy (MEKF_MAME)
AutonomousRobots Series
Unscented Kalman Filter in C code and MATLAB code - Easy to use
A C++ implementation of the Kalman filter and its extension, the extended Kalman filter (EKF) and the unscented Kalman filter (UKF) using Eigen.
Fuse camera and LIDAR sensor data to track an object using an Extended Kalman Filter and performed SLAM
Implementation of Kalman Filter, Extended Kalman Filter and Moving Horizon Estimation to the stirred tank mixing process.
Implementation of sensor fusion using Kalman Filters for localization of autonomous vehicles.
Kalman filters - linear and nonlinear (unscented, cubature, square root and hybride versions)
Successive Pose Estimation and Beam Tracking for mmWave Vehicular Communication Systems
A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well as efficient gradient rules for computing gradients of required quantities (such as the pseudo-loglikelihood of the system).
Taha
Implementation of a simple 2D UKF and EKF using an CTRV kinematics model with lidar and radar measurements.
Sensor fusion between Odometry and Lidar data using an Extended Kalman Filter.
Collection of C++ based algorithms on numerics, statistics, control, reinforcement learning, machine learning and robotics
Probabilistic Motion Modeling Algorithm for Skid Steered Mobile Robots
R package for survival analysis with state space models
Quaternion based Extended Kalman Filter
State Estimation using Kalman Filters, EKF and solving the Data Association problem
Nonlinear Kalman Filter - Extended, Central Difference, Unscented Kalman Filter
Implement an Extended Kalman Filter to track the three dimensional position and orientation of a robot using gyroscope, accelerometer, and camera measurements.