遇见数据集

ESP32C3 WiFi FTM RSSI Indoor Localization

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Mendeley Data2024-05-30 更新2024-06-28 收录
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Wi-Fi FTM RSSI Localization dataset 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 Instructions: 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 FTM RSSI 定位数据集(Wi-Fi Fine Time Measurement,精细时间测量)用于室内定位,覆盖3个不同采集点位,搭载8个自定义接入点(Access Point,AP),该自定义AP基于ESP32C3开发,原始精细时间测量(FTM)数据以纳秒为单位进行记录。本数据集仅在路由器侧采集数据,未在客户端侧开展采集工作。压缩包内含4个数据集,总数据量超过10万条。 数据集包含来自多款不同路由器的预处理Wi-Fi FTM数据包,采集点位如下: 1. 维多利亚大学工程办公楼(Engineering Office Wing,EOW)3层 2. 维多利亚大学工程办公楼(EOW)5层 3. 维多利亚大学工程与计算机科学学院(Engineering and Computer Science,ECS)1层 每个点位对应的文件夹中均包含时间与空间维度均相互独立的训练数据集与测试数据集。所有路由器的系统时间通过chrony协议实现精准同步。 数据集采用CSV格式存储,字段依次为:相对时间(秒) | X轴位置(米) | Y轴位置(米) | 特征1 | 特征2 | 特征3 …… 每次切换至新的采集点位时,相对时间将重置;本数据集的位置精度可达厘米级,该精度通过激光雷达(LIDAR)与RGBD相机标定获得。配套地图采用ROS2兼容的PGM格式,可通过ROS2程序直接读取。 本数据集对应论文《Wi-Fi and Bluetooth Contact Tracing Without User Intervention》,官方链接为: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} }

创建时间:
2024-03-28
搜集汇总
数据集介绍
ESP32C3 WiFi FTM RSSI Indoor Localization 数据集图片
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 FTM RSSI数据集,包含在三个不同地点使用8个ESP32C3定制接入点收集的超过10万个数据点,数据以CSV格式存储,包括时间、位置坐标和多个特征。数据集仅从路由器侧测量,用于支持Wi-Fi和蓝牙接触追踪的研究。
以上内容由遇见数据集搜集并总结生成
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