Deep learning based wireless localization for indoor navigation

R Ayyalasomayajula, A Arun, C Wu, S Sharma… - Proceedings of the 26th …, 2020 - dl.acm.org
Location services, fundamentally, rely on two components: a mapping system and a
positioning system. The mapping system provides the physical map of the space, and the …

[HTML][HTML] Перспективы стандартизации навигационных систем медицинских организаций Российской Федерации (Обзор)

АА Курмангулов, НС Брынза - Проблемы стандартизации в …, 2020 - cyberleninka.ru
Разработка общих требований, правил создания и эксплуатации навигационных
систем-актуальная задача отечественного здравоохранения. Создание российского …

Automatic radio map adaptation for indoor localization using smartphones

C Wu, Z Yang, C Xiao - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
The proliferation of mobile computing has prompted WiFi-based indoor localization to be
one of the most attractive and promising techniques for ubiquitous applications. A primary …

Wiar: A public dataset for wifi-based activity recognition

L Guo, L Wang, C Lin, J Liu, B Lu, J Fang, Z Liu… - IEEE …, 2019 - ieeexplore.ieee.org
We construct a public dataset for WiFi-based Activity Recognition named WiAR with sixteen
activities operated by ten volunteers in three indoor environments. It aims to provide public …

Mobile localization techniques for wireless sensor networks: Survey and recommendations

LL Oliveira, GH Eisenkraemer, EA Carara… - ACM Transactions on …, 2023 - dl.acm.org
This article provides a comprehensive survey of pioneer and state-of-the-art localization
algorithms based on the mobility of the network. The basic concepts of the localization task …

Experience: Pushing indoor localization from laboratory to the wild

J Ni, F Zhang, J Xiong, Q Huang, Z Chang… - Proceedings of the 28th …, 2022 - dl.acm.org
While GPS-based outdoor localization has become a norm, very few indoor localization
systems have been deployed and used. In this paper, we share our 5-year experience on …

iTAM: Bilateral privacy-preserving task assignment for mobile crowdsensing

B Zhao, S Tang, X Liu, X Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The minimum travel distance of task participants is one of the significant optimization
objectives of privacy-preserving task assignment in mobile crowdsensing (MCS). However …

Toward reliable non-line-of-sight localization using multipath reflections

X Zhang, L Chen, M Feng, T Jiang - … of the ACM on Interactive, Mobile …, 2022 - dl.acm.org
The past decade's research in RF indoor localization has led to technologies with decimeter-
level accuracy under controlled experimental settings. However, existing solutions are not …

PILOT: Practical privacy-preserving indoor localization using outsourcing

K Järvinen, H Leppäkoski, ES Lohan… - 2019 IEEE European …, 2019 - ieeexplore.ieee.org
In the last decade, we observed a constantly growing number of Location-Based Services
(LBSs) used in indoor environments, such as for targeted advertising in shopping malls or …

Design and implementation of a CSI-based ubiquitous smoking detection system

X Zheng, J Wang, L Shangguan… - … /ACM transactions on …, 2017 - ieeexplore.ieee.org
Even though indoor smoking ban is being put into practice in civilized countries, existing
vision or sensor-based smoking detection methods cannot provide ubiquitous detection …