A Review of Open Access WiFi Fingerprinting Datasets for Indoor Positioning
X Feng, KA Nguyen, Z Luo - IEEE Access, 2024 - ieeexplore.ieee.org
WiFi fingerprinting is one of the most widely used techniques for indoor positioning systems.
However, existing fingerprinting datasets came in different shapes and forms with varying …
However, existing fingerprinting datasets came in different shapes and forms with varying …
Scalable and efficient clustering for fingerprint-based positioning
Indoor positioning based on IEEE 802.11 wireless LAN (Wi-Fi) fingerprinting needs a
reference data set, also known as a radio map, in order to match the incoming fingerprint in …
reference data set, also known as a radio map, in order to match the incoming fingerprint in …
[HTML][HTML] ORDIP: Principle, practice and guidelines for open research data in indoor positioning
The community of indoor positioning research has identified the need for a paradigm shift
towards more reproducible and open research dissemination. Despite recent efforts to …
towards more reproducible and open research dissemination. Despite recent efforts to …
Revisiting the analysis of hyperparameters in k-nn for wi-fi and ble fingerprinting: Current status and general results
C Rodriguez-Martinez… - … Conference on Indoor …, 2021 - ieeexplore.ieee.org
Wi-Fi Fingerprinting is a very popular technique in the field of indoor positioning, since the
release of Microsoft RADAR system back in 2000. Since that milestone, the vast majority of …
release of Microsoft RADAR system back in 2000. Since that milestone, the vast majority of …
UTMInDualSymFi: a dual-band Wi-Fi dataset for fingerprinting positioning in symmetric indoor environments
Recent studies on indoor positioning using Wi-Fi fingerprinting are motivated by the ubiquity
of Wi-Fi networks and their promising positioning accuracy. Machine learning algorithms are …
of Wi-Fi networks and their promising positioning accuracy. Machine learning algorithms are …
Lightweight Wi-Fi fingerprinting with a novel RSS clustering algorithm
D Quezada-Gaibor, J Torres-Sospedra… - 2021 International …, 2021 - ieeexplore.ieee.org
Nowadays, several indoor positioning solutions sup-port Wi-Fi and use this technology to
estimate the user position. It is characterized by its low cost, availability in indoor and …
estimate the user position. It is characterized by its low cost, availability in indoor and …
Collection of a continuous long-term dataset for the evaluation of wi-fi-fingerprinting-based indoor positioning systems
Indoor positioning and navigation have been attracting interest from the research community
for quite some time. Nowadays, new fields, such as the Internet of Things, Industry 4.0, and …
for quite some time. Nowadays, new fields, such as the Internet of Things, Industry 4.0, and …
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks
The rapid growth of the Internet of Things fosters collaboration among connected devices for
tasks like indoor localization. However, existing indoor localization solutions struggle with …
tasks like indoor localization. However, existing indoor localization solutions struggle with …
Industrial Environment Multi-Sensor Dataset for Vehicle Indoor Tracking with Wi-Fi, Inertial and Odometry Data
This paper describes a dataset collected in an industrial setting using a mobile unit
resembling an industrial vehicle equipped with several sensors. Wi-Fi interfaces collect …
resembling an industrial vehicle equipped with several sensors. Wi-Fi interfaces collect …
Towards Quality Wi-Fi Synthetic Data for Indoor Positioning Evaluation
Synthetic data of high quality can provide research teams with an effective means of
conducting large-scale evaluations of their indoor positioning systems under controlled …
conducting large-scale evaluations of their indoor positioning systems under controlled …