uwb

Home Environment Ambient Radio-frequency Toolkit for Health

The code contains the preprocessing scripts and experiments that work on UWB Positioning and Tracking Data Set. The code demonstrate the UWB positioning technique with ranging error mitigation using deep learning-based ranging error estimation by convolutional neural networks (CNN) using TensorFlow deep learning platform.

This repo demonstrates the tracking scenario for UWB Localization in ROS using the Decawave's TREK1000 (EVK1000 Evaluation Kits) and MDEK 1001 (DWM1001-DEV boards).

A ROS package containing an outdoor localization system that fuses UWB and IMU sensor data through a Particle Filter.

A Python package to calibrate the UWB modules in order to improve ranging accuracy.

Dual-UAV docking research centered on UWB, AprilTag vision, PX4/MAVLink, and mother-frame relative localization.

Mission planner, autonomous flight and precision landing of the Parrot ANAFI drone using Kalman filter

This project, part of my bachelor thesis, creates a simulation model for the precise autonomous landing of a multirotor UAV on a moving platform using Aruco fractal markers and ultra-wideband technology,

Range Only SLAM with Ultra Wideband

UWB+IMU fusion using collaborative EKF i.e. sharing data between agents. Continuation of single robot case https://github.com/simutisernestas/rfloc

Autonomous follow system for the Unitree Go2 robot using UWB tracking, YOLO-based vision and PID motion control.

A probabilistic learning approach to UWB ranging error mitigation

Development and testing of an indoor positioning system using UWB

lighTag: A UWB Positioning System Integrated in Lighting System and its Applications

G-mapping and Hector-Slam python implementation

UWB EKF positioning. Multi agent case + IMU fusion is extended in the following work: https://github.com/simutisernestas/jubilant-dollop

Multi‑technology wireless positioning dataset (WiFi/BLE/UWB/GNSS/5G NR) with reference data, processed measurements, and optional preprocessing scripts.

A ROS package containing a hardware driver for Decawave's DWM1001 Development Board and a ROS node wrapper that exposes the sensor driver to the ROS ecosystem.

A deep learning pipeline for classifying heartbeats from UWB radar signals using a pre-trained Convolutional Neural Network (CNN). The UWB data is filtered, segmented, and normalized to match ECG-trained models for accurate heartbeat detection.

Simulate, store and view Decawave UWB listener data