室内定位技术评估试验场Wi-Fi指纹库数据（2021年）

室内定位技术评估试验场Wi-Fi指纹采集原始数据包含武汉大学诗琳通中心大楼7000平方米试验场，覆盖走廊，办公区域，办公开放平台等多个室内场景。按照每个4平方米的网格采集一个点的标准，使用安卓手机采集APP，采 集了室内5层楼所有WiFi AP的信号强度、MAC地址等信息。同时使用手持激光Slam采集人员走动的实时位置信息。Wifi数据通过程序使其与位置信息对齐，并过滤-90db以下低强度AP信息。AP信息与位置信息共同保存在sqlite数据库文件中。

Raw Wi-Fi fingerprint collection data for the indoor positioning technology evaluation test site includes a 7000-square-meter test area in the Sirindhorn Center Building of Wuhan University, covering multiple indoor scenarios such as corridors, office areas and open office platforms. Following the standard of collecting one data point per 4-square-meter grid, an Android mobile data collection APP was used to collect information including signal strength and MAC addresses of all WiFi APs across the 5 indoor floors. Meanwhile, real-time position information of personnel movement was collected using a handheld laser SLAM device. The Wi-Fi data was aligned with the position information via a program, and low-strength AP signals below -90 dB were filtered out. Both the AP information and the position information are stored together in an SQLite database file.

搜集汇总

背景与挑战

背景概述

该数据集是2021年6月在武汉大学石林顿中心大楼7000平方米室内测试场采集的Wi-Fi指纹库数据，用于评估室内定位技术。数据通过Android手机按网格点采集Wi-Fi信号强度（RSSI）和MAC地址，并用手持激光SLAM同步获取高精度位置信息（误差≤10cm），经处理后存储在SQLite数据库中，适用于室内定位算法研究和GIS技术开发。