WiFi and Bluetooth RSSI SQI Indoor Localization

Wi-Fi BLE RSSI SQI Localization dataset Wi-Fi BLE RSSI for positioning / Indoor Localization in 4 different locations and using 18 different APs Data is only measured at the Router Side Data is not measured at client side Has 12 datasets inside the zip folder with over 1,000,000 data points Contains processed Wi-Fi and BLE packets from various routers in: 1. University of Victoria, Engineering Office Wing (EOW) 2. University of Victoria, Engineering Lab Wing (ELW) 3. University of Victoria, Engineering and Computer Science (ECS) Each folder contains a training dataset and a testing dataset that is independent in time and space Router Time is synchronized using chrony 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}
}

Wi-Fi、蓝牙低功耗(Bluetooth Low Energy, BLE)、接收信号强度指示(Received Signal Strength Indication, RSSI)、信号质量指数(Signal Quality Indicator, SQI)定位数据集
本数据集用于4个不同场景、18个不同接入点(Access Point, AP)的室内定位数据采集，仅在路由器侧完成数据测量，未在客户端侧采集数据。压缩包内包含12个数据集，总数据量超100万条，涵盖维多利亚大学三个区域中多款路由器的处理后Wi-Fi与BLE数据包，具体区域如下：
1. 维多利亚大学工程办公翼（Engineering Office Wing, EOW）
2. 维多利亚大学工程实验翼（Engineering Lab Wing, ELW）
3. 维多利亚大学工程与计算机科学学院（Engineering and Computer Science, ECS）

每个区域的文件夹均包含时间与空间上相互独立的训练数据集与测试数据集。所有路由器的时间通过chrony工具完成同步。

数据集采用CSV格式存储，字段依次为：相对时间（秒）|X坐标（米）|Y坐标（米）|特征1|特征2|特征3……。每次切换至新的定位位置时，相对时间将重置。本数据集的定位精度可达厘米级，采用激光雷达(Light Detection and Ranging, LIDAR)与RGBD相机进行位置校准。配套地图采用机器人操作系统2(Robot Operating System 2, ROS2)可读取的PGM格式文件。

本数据集配套论文《无用户干预的Wi-Fi与蓝牙接触追踪》（Wi-Fi and Bluetooth Contact Tracing Without User Intervention），可通过IEEE Xplore平台访问：https://ieeexplore.ieee.org/document/9866766。引用格式如下：
@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}
}

搜集汇总

背景与挑战

背景概述

该数据集是一个用于室内定位的Wi-Fi和蓝牙RSSI SQI数据集，包含在维多利亚大学4个不同地点从18个接入点收集的超过1,000,000个数据点，仅从路由器侧测量，以CSV格式提供，并附带独立训练和测试集，支持无用户干预的接触追踪研究。