84 Open source projects that are alternatives of or similar to Eye Gaze

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

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

Unscented Kalman Filter library for state and parameter estimation

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

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

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.