84 Open source projects that are alternatives of or similar to KalmanFiltering

A stock backtesting engine written in modern Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model

Kalman Filter implementation in Python using Numpy only in 30 lines.

A small 2D robot localization game using Kalman filtering written in C++11

Pitch tracking in real-time with the Kalman filter

Kalman Variational Auto-Encoder

State estimation and filtering algorithms in Go

A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

If you can measure it, consider it predicted

Go tools for flying

Loosely coupled integration of GNSS and IMU

A method about optimizing the facial landmark detection based on Kalman Filter, Optical Flow and Dlib

R code for Time Series Analysis and Its Applications, Ed 4

Robust Kalman filter with adaptive noise statistics estimation.

HCKalmanFilter is Swift implementation of Kalman filter algorithm intended to solve problem with GPS tracking

Vision-based Robot 3D Pose and Velocities Estimations

Library for tracking-by-detection multi object tracking implemented in python

Signal processing method and algorithm library

All Terrain Autonomous Quadruped

Implement Kalman filter for your Arduino projects

Bayesian multi-object tracking

Code to estimate HR from PPG signals using Subspace Decomposition and Kalman filter for the dataset of 22 PPG recordings provided for the 2015 IEEE Signal Processing Cup (SP Cup) competition. The traces are stored in folder 'DATABASE'. Please cite this publication when referencing this material: "Measuring Heart Rate During Physical Exercise by …

Python Kalman filters vectorized as Single Instruction, Multiple Data

GPS altimeter/variometer with LCD display, routes with waypoints, data/gps track logging, bluetooth NMEA sentence transmission, wifi AP + webpage configuration

Contains coursera robotics specialization assignment codes

This package includes basic tools for time series analysis, compatible with incomplete data.

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.

LiDAR SLAM = FAST-LIO + Scan Context

Generic Sensor Fusion Package for ROS

A compact Unscented Kalman Filter (UKF) library for Teensy4/Arduino system (or any real time embedded system in general)

Depth-Based Bayesian Object Tracking Library

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

Unscented Kalman Filter library for state and parameter estimation

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

A collection of some of the neat math and physics tricks that I've collected over the last few years.

Flexible filtering and smoothing in Julia

Repository for Eye Gaze Detection and Tracking

Face Detection and tracking using CamShift, Kalman Filter, Optical Flow

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

Udacity Self-Driving Car Engineer Nanodegree projects.

Unscented kalman filter (UKF) library in python that supports multiple measurement updates

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

Lidar and Radar Fusion with EKF and UKF

Sequential Monte Carlo in python

This shows a basic implementation of the global nearest neighbour (GNN) multi target Tracker. Kalman filter is used for Tracking and Auction Algorithm for determining the assignment of measurments to filters.

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Kalman filter implementation in Rust

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Kalman filter using C++ and Manif

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

A simple Kalman Filter built in TensorFlow

Visualizations of algorithms covered in Sebastian Thrun's excellent Artificial Intelligence for Robotics course on Udacity.

BLDC ESC firmware (GPLv3.0)

Microcontroller targeted C library for Kalman filtering

This repo provides projects on deep-learning mainly using Tensorflow 2.0

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

My collection of implementations of adaptive filters.