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.

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6个接入点（AP）在不同日期收集的RSSI信息，数据通过自主机器人采集，定位精度高（0.07米±0.02米），覆盖21米×16米区域。数据以.csv格式提供，适用于人工智能、物联网和机器学习领域的算法开发和比较。