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)

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

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.

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.

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

Library for Indoor Positioning purposes

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

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

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.

Taha

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.

Online Indoor Localization Using DOA of Wireless Signals

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.

Autonomous Indoor Drone with Simulation and Hardware-Setup using ROS and SLAM

Dataset RSSI values for LoRa technology in the 2.4 GHz ISM Band. The data were measured using the iM828A radio module. For future research purposes RSSI dataset obtained from the measurement campaigns.

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

Using WiFi signals (RSSI values) to predict indoor locations

Location tracking project using trilateration and Xbee.