There are 5 repositories under kalman-filtering topic.
Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering
Data Assimilation with Python: a Package for Experimental Research
HCKalmanFilter is Swift implementation of Kalman filter algorithm intended to solve problem with GPS tracking
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Tutorials on data assimilation (DA) and the EnKF
Cool Vision projects
Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
Indoor Positioning System using Bluetooth Low Energy and Triangulation
Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.
Predictive Maintenance System for Digital Factory Automation
Kalman filtering and smoothing in Rust
Hybrid Time Series using LSTM and Kalman Filtering
Kalman Filter
Kalman Filter for Pose estimation using Lie Algebra
AutonomousRobots Series
Blob detection of multiple objects with object indexing and drawning trajectories.
A Kalman Filter library in go. Includes several examples in statistical orbit determination.
Unscented Kalman filtering in Python and C++ for tracking and localization applications
Implementation of Kalman Filter from scratch with notes.
The aim of this project is to use a down facing camera as a range and bearing sensor for a quadcopter for localization purposes. The environment and robot is simulated in a robot simulator V-REP, the environment consists of a 10mx10m grid with colored markers placed at regular intervals. Performance of different algorithms for marker detection is evaluated based on the error in the localization accuracy. The algorithms used are contour detection, template matching and phase correlation.
Kalman filters - linear and nonlinear (unscented, cubature, square root and hybride versions)
Human Pose Estimation in Real-World Metric Coordinates
Advanced systems have been developed to enable accurate room-scale 3D tracking for virtual reality applications. Steam has recently made these tools available for community development (https://partner.steamgames.com/vrlicensing, https://www.triadsemi.com/steamvr-tracking/). These tools can be leveraged to enable wireless 6-degree of freedom tracking of freely moving animals for experimental neuroscience. This would provide a large number of benefits compared to current video-based tracking technology and would likely become the _de-facto gold-standard method in the field, once implemented. A functional system requires the development of calibration and sensor fusion algorithms to combine 15-60Hz room-scale optical tracking with 500Hz local inertial reference frame data. This UROP would focus on the development and verification of these algorithms in a high level programming language and then implementing them on existing head-borne FPGAs and microcontrollers being used in the Wilson lab for behavioral research.
Taha
EnKF in Matlab for a system of two PDEs modeling burglar behavior (model of Short et al.)
Vertical speed indicator for Android devices (including wearables) with barometric sensor.