Tracklib library provide a variety of tools, operators and functions to manipulate GPS trajectories

This project aims to explore and compare different Kalman filter architectures and their performance on FPGA platforms. The focus is on two main applications: IMU sensor fusion for quadcopters and prediction in power electronics for microgrid renewable energy systems.

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..

A library for differentiable robotics.

Kalman Filters are used for state estimation in control systems. This repository includes an implementation of the algorithm in Python and also a Jupyter Notebook for testing in real data for altitude estimation of a quadrotor

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).

Kalman Filter

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

Embedded Firmware for the CATS Flight Computers

Embedded system lab quadcopter project

Robust quadrotor pose estimation in 3D space with a Vision-based observation model and EKF

A state estimation package for Lie groups!

night sky, kalman, particle

Material for the course "Time series analysis with Python"

State estimation and filtering algorithms in Go

State Space Models library in JAX

Robot platooning, sensor fusion of odometry and inertial unit and more ...

Parameter estimation Demo by UKF

A Control Systems Toolbox for Julia

MARG IMU based orientation estimation using TRIAD