Uses WiFi signals 📶 and machine learning to predict where you are

ROS localization with uwb, odom and lidar using kalman filter method

Passive indoor localization using WiFi signal strength

This is an open-source project that employs deep learning to enhance indoor positioning using WiFi Channel State Information (CSI). This project aims to harness the detailed data from CSI, such as signal amplitude, phase, and environmental properties, to accurately locate devices inside buildings where GPS is ineffective.

Indoor Beacon Tracking System based on BLE

Manipal Indoor Navigation Network

Indoor Positioning System Using Bluetooth RSSI and Trilateration. ESP32's as receivers.

Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019

Motion Capture System Simulator Base on Gazebo8, can be use for vehicle SITL position Estimate

Home Environment Locating People 🍍

This project is used to solve the problem of indoor positioning. As gps does not work indoor, This project was tested for accuracy upto 15cm for indoor 2d positioning. The positioning this passed to a AI Model which navigates the vehicle to required position using Reinforcement Learning

Experiments in NLOS mitigitation under MDS-based RF Positioning

This is ros package for PX4 autoplot with remote control, offboard mode, Slam autonomous navigation...

RSSI Indoor Positioning System Simulator, based on passive tags. The tag to tag interference model is implemented by the simulator.

POSTECH CSED499II Research Project II (RNN을 활용하여 지자기 기반 실내 위치 추정 시스템의 정확도 개선)

Triangulation using wireless access points for both indoor positioning system.

How to get the location from the received signal strength of nearby Wifi hotspots or access points by your device

rssi-indoor-position

Code for a paper to IPIN2019 conference.