Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs

Benchmark on Attitude Estimation with Smartphones (datasets & scripts)

Quaternion-based Kalman filter for attitude estimation from IMU data

Study and implementations of different attitude estimation algorithms for spacecrafts.

Book Website: Dynamic System Modelling & Analysis with MATLAB & Pythobn

A general ROS package for C++ or Python that fuses the accelerometer and gyroscope of an IMU in an EKF to estimate orientation.

Navigation filters, transforms, and utilities

Use accelerometer, magnetometer, gyroscope data, use ESKF to estimate attitude.

This is the main repository for the codes for Spacecraft Attitude Control course Final Project - Politecnico di Milano

This repository contains different algorithms for attitude estimation (roll, pitch and yaw angles) from IMU sensors data: accelerometer, magnetometer and gyrometer measurements

C++ implementation of the Quaternion Multiplicative Extended Kalman Filter (Q-MEKF).

High-precision Attitude Estimation for a Satellite

Time-Varying Kalman Attitude Estimator. An algorithm for attitude estimation from magnetic, angular rate, and gravity sensors data.

An IMU-based Attitude Estimator, implementing the Madgwick filter

Multiplicative Extended Kalman Filter Satellite Attitude Determination

very simple matrix library, int addition to a recreation of DCM attitude estimation in the form of matrix of C.

Python implementation of the Madgwick filter using Cython

Attitude estimation for iNEMO-M1

Fast unit quaternion code for Python written in C