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ShileiLi's repositories

MKMCKF-OE

Orientation estimation for IMUs using multi-kernel maximum Correntropy Kalman filter

Language:MATLABApache-2.08 10

ABC-EqF

Equivariant Filter implementation for attitude, gyroscope bias and calibration estimation. From "Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration"

Language:PythonGPL-3.0100

IMUCalibration-Gesture

calibration for Imu and show gesture

Language:MATLAB100

manif

A small C++11 header-only library for Lie theory.

Language:C++MIT100

sensor_fusion_algorithm_codes

Repository containing the optimization and source open code of several sensor fusion algorithms for estimating the orientation based on inertial and magnetic sensing

Language:MATLABMIT100

Arduino_AHRS_System

A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform

Language:C++CC0-1.0000

Bayesian-Filtering

Bayesian Filtering & Smoothing demos

Language:Jupyter Notebook000

BayFit

Multidimensional Ellipsoid Fitting

Language:MATLAB000

CV-Template

My curriculum vitae (CV) written using LaTeX.

Language:TeXMIT000

Decentralized_KalmanFilter

A decentralized version of extended Kalman filter for a sensor network of over 100 nodes. Uses consensus algorithm for sensor fusion

Language:MATLAB000

Distributed-Kalman-Filtering-Project

Distributed Consensus-based Kalman Filtering and Network Properties

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DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

NOASSERTION000

Efficient-GP-Regression-via-Kalman-Filtering

Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the temporal part of the space-time process while, standard GP regression is used for the spatial part

GPL-3.0000

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Language:PythonMIT000

graythomas.github.io

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IMU_Kalman-filter_MATLAB

Attitude estimation and animated plot using MATLAB Extend Kalman Filter with 9-Axis IMU

Language:MATLAB000

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

NOASSERTION000