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.

Robotic Localization with SLAM on Raspberry Pi integrated with RP LIDAR A1. Point Cloud remote visualization doing using MQTT in real-time.

Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

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

Implementation of the paper Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach (IEEE Sensors Letters, 2020), which utilizes Generative Adversarial Networks (GANs) for indoor localiztaion.

An indoor positioning system (IPS) is a system to locate objects or people inside a building using radio waves, magnetic fields, acoustic signals, or other sensory information.

[ECCV'24 Oral] SPVLoc estimates 6D camera pose by matching images to semantic 3D models of indoor scenes, without scene-specific training.

Library for Indoor Positioning purposes

Augmented Reality-based Indoor Navigation Application is an innovative application designed to assist users unfamiliar with complex buildings such as hospitals, universities, super malls, airports, and railway stations. It guides users to their desired destination, saving both time and energy. This system is cost effective, easy to use.

Source code for the paper "A Soft Range Limited K-Nearest Neighbors Algorithm for Indoor Localization Enhancement"

Automated radio map construction using a Thymio II and a Software-Defined Radio (SDR)

Useful tools and software for high-precision positioning of low-cost smartphone

The scripts were intended to describe a Naive-Bayes-based approach to indoor location via WiFi signals.

📌 An interdisciplinary team project of the course Software Lab at Technical University of Munich (TUM), aiming to map WiFi signals to increase localization accuracy with embedded IoT device ESP32 by tracking the position of nearby WiFi enabled devices

Dataset for ESP32C3 WiFi FTM RSSI Indoor Localization

Online Indoor Localization Using DOA of Wireless Signals

Kindona is a flutter-based application for helping users orientate inside of buildings. It provides the user with a map (like google maps and the like), with the option to differentiate between the different floors inside the building.

Taha

Development and testing of an indoor positioning system using UWB