Convolutional Neural Networks for Denoising Gyroscopes of Low-Cost IMUs
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Updated
Sep 16, 2020 - Python
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
Navigation filters, transforms, and utilities
Study and implementations of different attitude estimation algorithms for spacecrafts.
Time-Varying Kalman Attitude Estimator. An algorithm for attitude estimation from magnetic, angular rate, and gravity sensors data.
A general ROS package for C++ or Python that fuses the accelerometer and gyroscope of an IMU in an EKF to estimate orientation.
This is the main repository for the codes for Spacecraft Attitude Control course Final Project - Politecnico di Milano
Towards real-time and robust star trackers.
Python implementation of the Madgwick filter using Cython
Use accelerometer, magnetometer, gyroscope data, use ESKF to estimate attitude.
Attitude and it's covariance estimation using raw gyroscope data
Estimating Attitude using iPhone's IMU in Matlab
Book Website: Dynamic System Modelling & Analysis with MATLAB & Pythobn
🧭 Visualize attitude tracking algorithm using mobile phone sensors
Attitude estimation for iNEMO-M1
🧭 Orientation Sensor Controller
C++ implementation of the Quaternion Multiplicative Extended Kalman Filter (Q-MEKF).
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