Recent advances in indoor localization: A survey on theoretical approaches and applications

A Yassin, Y Nasser, M Awad, A Al-Dubai… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
The availability of location information has become a key factor in today's communications
systems allowing location based services. In outdoor scenarios, the mobile terminal position …

Device fingerprinting for cyber-physical systems: a survey

V Kumar, K Paul - ACM Computing Surveys, 2023 - dl.acm.org
The continued growth of the cyber-physical system (CPS) and Internet of Things
technologies raises device security and monitoring concerns. For device identification …

Cooperative positioning for emergency responders using self IMU and peer-to-peer radios measurements

R Liu, C Yuen, TN Do, M Zhang, YL Guan, UX Tan - Information Fusion, 2020 - Elsevier
Positioning between multiple users without any given infrastructure is essential for many
applications, such as emergency response in disaster areas. Traditional approaches based …

[HTML][HTML] Fusing bluetooth beacon data with Wi-Fi radiomaps for improved indoor localization

L Kanaris, A Kokkinis, A Liotta, S Stavrou - Sensors, 2017 - mdpi.com
Indoor user localization and tracking are instrumental to a broad range of services and
applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) …

[HTML][HTML] Enhancement of localization systems in NLOS urban scenario with multipath ray tracing fingerprints and machine learning

M N. de Sousa, R S. Thomä - Sensors, 2018 - mdpi.com
A hybrid technique is proposed to enhance the localization performance of a time difference
of arrival (TDOA) deployed in non-line-of-sight (NLOS) suburban scenario. The idea was to …

Sample Size Determination Algorithm for fingerprint-based indoor localization systems

L Kanaris, A Kokkinis, G Fortino, A Liotta, S Stavrou - Computer Networks, 2016 - Elsevier
Provision of accurate location information is an important task in the Internet of Things (IoT)
applications and scenarios. This need has boosted the research and development of …

A radiosity-based method to avoid calibration for indoor positioning systems

O Belmonte-Fernandez, R Montoliu… - Expert Systems with …, 2018 - Elsevier
Due to the widespread use of mobile devices, services based on the users current indoor
location are growing in significance. Such services are developed in the Machine Learning …

Locunet: Fast urban positioning using radio maps and deep learning

Ç Yapar, R Levie, G Kutyniok… - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper deals with the problem of localization in a cellular network in a dense urban
scenario. Global Navigation Satellite Systems (GNSS) typically perform poorly in urban …

Real-time outdoor localization using radio maps: A deep learning approach

Ç Yapar, R Levie, G Kutyniok… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Global Navigation Satellite Systems typically perform poorly in urban environments, where
the likelihood of line-of-sight conditions between devices and satellites is low. Therefore …

Multidevice map-constrained fingerprint-based indoor positioning using 3-D ray tracing

M Raspopoulos - IEEE Transactions on Instrumentation and …, 2017 - ieeexplore.ieee.org
This paper studies the use of deterministic channel modeling through 3-D ray tracing (RT)
for constructing device-independent radiomaps for Wi-Fi RSSI-based fingerprinting indoor …