Uses WiFi signals 📶 and machine learning to predict where you are
Passive indoor localization using WiFi signal strength
ROS localization with uwb, odom and lidar using kalman filter method
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.
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
Indoor Positioning System Using Bluetooth RSSI and Trilateration. ESP32's as receivers.
Indoor Beacon Tracking System based on BLE
Home Environment Locating People 🍍
Visible Light Positioning with Machine Learning
Manipal Indoor Navigation Network
Motion Capture System Simulator Base on Gazebo8, can be use for vehicle SITL position Estimate
Online Indoor Localization Using DOA of Wireless Signals
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
Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning (OASLTIP) Using Bluetooth Low Energy
Location tracking project using trilateration and Xbee.
Temporal variation resilient fingerprinting-based indoor localization using Siamese networks
This is ros package for PX4 autoplot with remote control, offboard mode, Slam autonomous navigation...
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