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

[ECCV 2024 Oral] SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments

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.

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

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

Online Indoor Localization Using DOA of Wireless Signals

Development and testing of an indoor positioning system using UWB

Location tracking project using trilateration and Xbee.

Temporal variation resilient fingerprinting-based indoor localization using Siamese networks

Indoor Localization with Machine Learning Techniques

The source files accompanying our research paper titled - "A Robust Approach for Improving the Accuracy of IMU based Indoor Mobile Robot Localization".

What-You-See-Is-What-You-Get Indoor Localization [WIL] - (not only) for Human-Robot Interaction

Hello researchers. In this project, I will present my works that I have done in real environment and gazebo simulation environment using Turtlebot3 and Turtlebot2. Many systems such as mapping, positioning, use of sensor data are explained in the project.

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

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