111 Open source projects that are alternatives of or similar to pyUKF

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

Implemented Unscented Kalman Filter (UKF) for orientation tracking. Sensors fusion of accelerometer, and gyroscope

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

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

Vision-based Robot 3D Pose and Velocities Estimations

Kalman filter using C++ and Manif

This repository contains code and writeups for projects and labs completed as a part of UDACITY's first of it's kind self driving car nanodegree program.

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

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

Vehicle State Estimation using Error-State Extended Kalman Filter

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

A simple implementation of some complex Sensor Fusion algorithms

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Code for Geo-Supervised Visual Depth Prediction

HybVIO visual-inertial odometry and SLAM system

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

Generic Sensor Fusion Package for ROS

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

🚀 SLAM for autonomous planetary rovers with global localization

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】

Implementation for IROS2020: "GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Model"

If you can measure it, consider it predicted

Contains coursera robotics specialization assignment codes

A bunch of state estimation algorithms

The FactorGraph package provides the set of different functions to perform inference over the factor graph with continuous or discrete random variables using the belief propagation algorithm.

Udacity's Self-Driving Car Nanodegree project files and notes.

Hoverboard sideboard hack for GD32 boards

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

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

Pitch tracking in real-time with the Kalman filter

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

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.

Unscented Kalman Filter library for state and parameter estimation

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

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

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

My collection of implementations of adaptive filters.

A Robust and Versatile Monocular Visual-Inertial State Estimator

Depth-Based Bayesian Object Tracking Library

(ROS) Sensor fusion algorithm for camera+lidar.

Codac is a library for constraint programming over reals, trajectories and sets.

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.

Go tools for flying

UKF over generalized manifold in Matlab

Repository for Eye Gaze Detection and Tracking

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

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

An implementation of AVP-SLAM and some new contributions

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

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

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

Udacity Self-Driving Car Engineer Nanodegree projects.

Implement Kalman filter for your Arduino projects

Repo of paper title 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'

Personalized machine learning on the smartphone

All Terrain Autonomous Quadruped

Get the best AHRS accuracy out of the Tlera USFS with good sensor calibration

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.