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

Python library for communication between raspberry pi and MPU9250 imu

Kalman filter implementation in Rust

Mad Location Manager is a library for GPS and Accelerometer data "fusion" with Kalman filter

Counting people, dog and bicycle using SSD detection and tracking.

A simple Kalman Filter built in TensorFlow

solution of exercises of the book "probabilistic robotics"

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

Kalman Variational Auto-Encoder

Flexible filtering and smoothing in Julia

IMU - FreeIMU Library Zero Drift, Altitude & LSM303 Heading Stability

A unique time series library in Python that consists of Kalman filters (discrete, extended, and unscented), online ARIMA, and time difference model.

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

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

STM32 HAL library for GY-521 (MPU6050) with Kalman filter

Bayesian multi-object tracking

A demo for the performace evaluation of different kinds of Kalman filters, including the conventional Kalman filter (KF), the unscented Kalman filter (UKF), the extended Kalman filter (EKF), the embedded/imbedded cubature Kalman filter (ICKF/ECKF), the third-degree cubature Kalman filter (CKF) and the fifth-degree cubature Kalman filter (FCKF).

Robotics Toolbox for MATLAB

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

All Terrain Autonomous Quadruped

LiDAR SLAM = FAST-LIO + Scan Context

An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰

Lidar and Radar Fusion with EKF and UKF

Python Kalman filters vectorized as Single Instruction, Multiple 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

Kalman filter to estimate altitude and climbrate(sinkrate) by fusing altitude and acceleration sensor data

real time video stabilization using Kalman Filter

State estimation and filtering algorithms in Go

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

A flexible, modern, C++ recursive Bayesian estimation library.

Sequential Monte Carlo in python

Using Kalman Filter to Predict Corona Virus Spread

Lightweight Python library for adding real-time 2D object tracking to any detector.

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

Udacity Self-Driving Car Engineer Nanodegree projects.

This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).

Some Python Implementations of the Kalman Filter

BLDC ESC firmware (GPLv3.0)

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

Microcontroller targeted C library for Kalman filtering

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

Signal processing method and algorithm library

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

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

Collection of notebooks about quantitative finance, with interactive python code.

Robust Kalman filter with adaptive noise statistics estimation.

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

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

Javascript based Kalman filter for 1D data

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 …

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.

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

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

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

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

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

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

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

Loosely coupled integration of GNSS and IMU

Cool Vision projects