Top 85 kalman-filter open source projects

A simple Kalman Filter built in TensorFlow

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

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

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

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

State estimation and filtering algorithms in Go

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

Vision-based Robot 3D Pose and Velocities Estimations

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

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

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

Implement Kalman filter for your Arduino projects

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.

If you can measure it, consider it predicted

Kalman filter using C++ and Manif

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

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

My collection of implementations of adaptive filters.

Contains coursera robotics specialization assignment codes

Go tools for flying

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

Pitch tracking in real-time with the Kalman filter

Generic Sensor Fusion Package for ROS

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

Depth-Based Bayesian Object Tracking Library