数据集是开展实验的基础，搜集并分享。如果你有关于室内定位的问题，请联系博主。
| name | dateset | paper | comment |
|---|---|---|---|
| BLEBeacon: A Real-Subject Trial Dataset from Mobile Bluetooth Low Energy Beacons | https://github.com/dimisik/BLEBeacon-Dataset | https://arxiv.org/pdf/1802.08782.pdf |  |
| Position-Annotated-BLE-RSSI-Dataset | https://www.kaggle.com/datasets/philotuxo/positionannotatedblerssidataset | https://www.kaggle.com/datasets/philotuxo/positionannotatedblerssidataset/code |  |
| BLE RSSI Dataset for Indoor localization | https://www.kaggle.com/datasets/mehdimka/ble-rssi-dataset | 有代码，各种数据集 | |
| 微软kaggle | https://www.kaggle.com/competitions/indoor-location-navigation | ||
| 贝叶斯 | https://github.com/dennishnf/indoor-location-using-naive-bayes | ||
| 指纹 | https://github.com/alhomayani/oversampling_ble_fingerprints | ||
| Memoryless Techniques and Wireless Technologies for Indoor Localization with the Internet of Things | https://paperswithcode.com/paper/memoryless-techniques-and-wireless | https://paperswithcode.com/paper/memoryless-techniques-and-wireless | 近年来，物联网 （IoT） 已经发展到包括通过使用室内定位系统 （IPS） 和基于位置的服务 （LBS） 来跟踪设备。在设计 IPS 时，一种流行的方法是使用无线网络从具有预定位置的设备计算目标的大致位置。在许多智能建筑应用中，LBS对于开发高效的工作空间是必不可少的。在本文中，我们研究了两种无记忆定位技术，即K-最近邻（KNN）和朴素贝叶斯，并在准确性、精度和复杂度方面将它们与简单的三边测量进行了比较。我们通过使用三种流行的物联网无线技术对这些技术进行了全面分析：Zigbee、低功耗蓝牙 （BLE） 和 WiFi（2.4 GHz 频段），以及三个实验场景，以在多个环境中验证结果。根据实验结果，KNN是最准确、最精确的定位技术。所有实验的RSSI数据集均可在线获取。 |
| Semi-supervised Deep Reinforcement Learning in Support of IoT and Smart City Services | https://www.kaggle.com/datasets/mehdimka/ble-rssi-dataset | https://github.com/nikola310/indoor-localization | |
| BLE beacon fingerprint at a university basement and house scenarios for room-level positioning system - Techinical University of CartagenaBLE信标指纹在大学地下室和房屋场景中的应用-卡塔赫纳理工大学 | https://zenodo.org/records/4783076 | 4783076.zip | 没有坐标 |
| BLE RSSI Database for Analyzing Routines of Community-Dwelling Older Adults用于分析社区老年人日常活动的BLE RSSI数据库 | https://zenodo.org/records/10080945 | ||
| nature data | https://www.nature.com/articles/sdata2018168 | https://www.kaggle.com/datasets/byrnoo/ble-accelerometer-indoor-localisation-measurements | |
| Outdoor fingerprint localization with BLE beacons | https://zenodo.org/records/7464488 | https://log-a-tec.eu/datasets-ble.html | |
| BLE RSS dataset for fingerprinting radio map calibration | https://zenodo.org/records/5457591 | https://www.mdpi.com/1424-8220/21/18/6270 |
kaggle有代码
