https://github.com/wifilocalization/esp32c3_wifi_ftm_rssi_indoor_localization

Dataset for ESP32C3 WiFi FTM RSSI Indoor Localization
https://github.com/wifilocalization/esp32c3_wifi_ftm_rssi_indoor_localization

esp32 esp32c3 fingerprint fingerprinting ftm indoor-localization indoor-maps indoor-navigation indoor-positioning wifi wifi-data wifi-fingerprinting wifi-fingerprints wifi-ftm wifi-localization wifi-location wifi-locator wifi-rssi wifi-signal wifi-signal-strength

Last synced: about 1 month ago
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Dataset for ESP32C3 WiFi FTM RSSI Indoor Localization

• Host: GitHub
• URL: https://github.com/wifilocalization/esp32c3_wifi_ftm_rssi_indoor_localization
• Owner: WiFiLocalization
• Created: 2024-03-24T19:20:22.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-05-28T20:18:42.000Z (6 months ago)
• Last Synced: 2024-10-10T14:01:18.240Z (about 1 month ago)
• Topics: esp32, esp32c3, fingerprint, fingerprinting, ftm, indoor-localization, indoor-maps, indoor-navigation, indoor-positioning, wifi, wifi-data, wifi-fingerprinting, wifi-fingerprints, wifi-ftm, wifi-localization, wifi-location, wifi-locator, wifi-rssi, wifi-signal, wifi-signal-strength
• Homepage: https://zenodo.org/records/10883013
• Size: 7.98 MB
• Stars: 7
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Wi-Fi FTM RSSI Localization dataset

![Localization Map](DatasetB.png)

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:  

1. University of Victoria, Engineering Office Wing (EOW) 3rd Floor

2. University of Victoria, Engineering Office Wing (EOW) 5th Floor

3. 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

 

# Dataset is in CSV format

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

# Please Cite As

```

@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}

}

```