Wi-Fi positioning system that approximates user device location on a map using signal strength from nearby Wi-Fi access points.

Everyday Helper, Things Locator, Safety and Support for Special Needs

This repository contains the tools and results developed for my undergraduate thesis (TCC) in Computer Science at UFES São Mateus. The project focuses on analyzing and improving Wi-Fi coverage on campus through network mapping, custom measurement tools, and advanced router placement simulations. All solutions are data-driven and open-source.

rssi-indoor-position

Flask with whereami - Client request nearby WiFi signals to server then machine learning to predict where you are

N-Lateration fingerprinting algorithm for indoor location in a Wi-Fi network

This repository serves as a core integration for a primitive indoor localization system, developed as part of a Smart City graduation project. The system enables an agent (simulating a vehicle) to navigate on a map toward a designated target point smoothly after determining its current position.

GEO1101 Synthesis Project from MSc Geomatics TU Delft

Implementation of localization Whistle localization algorithm

An autonomous mobile robot that navigates using ROS 2, AMCL, and LiDAR.

Tsetlin Machine-based indoor localization using BLE RSSI fingerprinting.

Set of GNURadio Utils Packages for the Implementation of an TX/RX

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.

Bachelor Thesis: "Research and analysis of deep learning architectures and their impact on the radiolocation system effectiveness in indoor environment."; Gdansk University of Technology 2023

Extracts low speed segments from spatiotemporal trajectories using moving median of speed. Fast and robust. Adaptively determines the parameters from the data, instead of setting objective, arbitrary parameters. Each trajectory in a set of trajectories will have unique subjective parameters.

Implementation and evaluation of an indoor localization system based on Wi-Fi signal strength (RSSI).

Estimation of Indoor Position according to chosen ML algorithm

Accurately track the location of students seated in a classroom at the seat level.

II-Researcher: a new open-source framework designed to aid building search / research agents