Wi-Fi Fine Time Measurement for positioning / Indoor Localization in 3 different locations and using 8 different APs
Custom APs using ESP32C3 and Raw FTM is measured in nanoseconds
Data is only measured at the Router Side
Data is not measured at client side
Has 4 datasets inside the zip folder with over 100,000 data points
Contains processed Wi-Fi FTM packets from various routers in:
- University of Victoria, Engineering Office Wing (EOW) 3rd Floor
- University of Victoria, Engineering Office Wing (EOW) 5th Floor
- University of Victoria, Engineering and Computer Science (ECS) 1st Floor
Each folder contains a training dataset and a testing dataset that is independent in time and space
Router Time is synchronized using chrony
Mirror:
https://zenodo.org/records/10883013
Relative Time (seconds) | X Position (meters) | Y Position (meters) | Feature 1 | Feature 2 | Feature 3 .....
Time resets at every new position and position accuracy is a few centimeters using LIDAR and RGBD camera
Map is in ROS2 PGM format that can read by ROS2 programs
Data for the paper
Wi-Fi and Bluetooth Contact Tracing Without User Intervention
https://ieeexplore.ieee.org/document/9866766
@article{yuen2022wi,
title={Wi-Fi and Bluetooth contact tracing without user intervention},
author={Yuen, Brosnan and Bie, Yifeng and Cairns, Duncan and Harper, Geoffrey and Xu, Jason and Chang, Charles and Dong, Xiaodai and Lu, Tao},
journal={IEEE Access},
volume={10},
pages={91027--91044},
year={2022},
publisher={IEEE}
}