RF-Vision: Object Characterization using Radio Frequency Propagation in Wireless Digital Twin

This codebase facilitates the experiments done for Object Chracterization.

Introduction

In this exp, we introduce a novel approach for object characterization using Radio Frequency (RF) propagation map generation through ray-tracing within a Digital Twin (DT) framework. We outline a systematic pipeline for leveraging NVIDIA's Sionna Ray-Tracing tool to generate DT propagation maps created in Blender for indoor environments.

Setup and Prerequisites

Prerequisites

• Windows OS or Ubuntu OS
• Python3 - Download
• Blender - Download
• Blender OSM - Download
• Sionna RT - Download
• Jupyter Notebook - Download
• YOLO v11 nano - Download

Getting Started

Once you have successfully installed all the necessary dependencies, proceed to run the python file.

Instructions

• Run the .py file

Cite

If you find this simulation framework useful in your research, please cite our work:

Sunday Amatare, Wentao Gao, Mohammad Hasibur Rahman, Aavash Kharel, Raul Shakya, Xiaojun Shang, and Debashri Roy, "RF-Vision: Object Characterization using Radio Frequency Propagation in Wireless Digital Twin", IEEE ICC 2025, Available at SSRN: https://dx.doi.org/10.2139/ssrn.5103319

Acknowledgments

For any questions, feedback, or collaboration opportunities, please feel free to reach out.