WiFi RSSI Indoor Localization

A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to a target location to collect WiFi fingerprints automatically. The localization accuracy of the robot is 0.07 m ± 0.02 m. The dimension of the area is 21 m × 16 m. It has three long corridors. There are six APs and five of them provide two distinct MAC address for 2.4- and 5-GHz communications channels, respectively, except for one that only operates on 2.4-GHz frequency. There is one router can provide CSI information.

本数据库为一款可靠且全面的公开WiFi指纹（WiFi Fingerprinting）数据集，可供研究人员开展室内定位方法的实现与对比研究。数据库包含6个无线访问节点（Access Point, AP）的接收信号强度指示（Received Signal Strength Indicator, RSSI）数据，采集工作在不同日期开展，并得到了自主移动机器人的辅助。本次WiFi指纹数据采集由该自主移动机器人完成，该三轮机器人搭载多种传感器，包括轮式里程计、惯性测量单元（Inertial Measurement Unit, IMU）、激光雷达（LIDAR）、声呐传感器以及彩色深度（RGB-D）相机，可自主导航至目标位置自动完成数据采集。该机器人的定位精度可达0.07 m ± 0.02 m。数据采集区域尺寸为21 m × 16 m，包含三条长走廊。区域内共部署6个AP，其中5个节点分别为2.4 GHz与5 GHz通信信道提供两个不同的媒体访问控制（Media Access Control, MAC）地址，剩余1个节点仅支持2.4 GHz频段工作。另有1台路由器可提供信道状态信息（Channel State Information, CSI）数据。

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研究的公共WiFi指纹数据库，包含来自6个接入点的RSSI信息，数据通过高精度自主机器人在21米×16米的区域内收集，定位精度达0.07米±0.02米。数据集以.csv格式提供，适用于人工智能、物联网和机器学习领域的研究，支持指纹定位和K近邻等算法的实现与比较。