Indoor positioning and wayfinding systems: a survey

J Kunhoth, AG Karkar, S Al-Maadeed… - Human-centric Computing …, 2020 - Springer
Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …

A survey on fusion-based indoor positioning

X Guo, N Ansari, F Hu, Y Shao… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …

MetaLoc: Learning to learn wireless localization

J Gao, D Wu, F Yin, Q Kong, L Xu… - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
Existing localization methods that intensively leverage the environment-specific received
signal strength (RSS) or channel state information (CSI) of wireless signals are rather …

WiFi fingerprinting indoor localization using local feature-based deep LSTM

Z Chen, H Zou, JF Yang, H Jiang, L Xie - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Indoor localization has attracted more and more attention because of its importance in many
applications. One of the most popular techniques for indoor localization is the received …

Robust WiFi localization by fusing derivative fingerprints of RSS and multiple classifiers

X Guo, NR Elikplim, N Ansari, L Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
It is notable that localization accuracy using received signal strength (RSS) fingerprints
solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned …

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 …

A soft range limited K-nearest neighbors algorithm for indoor localization enhancement

MT Hoang, Y Zhu, B Yuen, T Reese… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
This paper proposes a soft range limited K-nearest neighbors (SRL-KNNs) localization
fingerprinting algorithm. The conventional KNN determines the neighbors of a user by …

Hybrid deep learning model based indoor positioning using Wi-Fi RSSI heat maps for autonomous applications

A Poulose, DS Han - Electronics, 2020 - mdpi.com
Positioning using Wi-Fi received signal strength indication (RSSI) signals is an effective
method for identifying the user positions in an indoor scenario. Wi-Fi RSSI signals in an …

Edge assisted mobile semantic visual SLAM

J Xu, H Cao, D Li, K Huang, C Qian… - … -IEEE Conference on …, 2020 - ieeexplore.ieee.org
Localization and navigation play a key role in many location-based services and have
attracted numerous research efforts from both academic and industrial community. In recent …

Train Once, Locate Anytime for Anyone: Adversarial Learning-based Wireless Localization

D Li, J Xu, Z Yang, C Tang - ACM Transactions on Sensor Networks, 2024 - dl.acm.org
Among numerous indoor localization systems, WiFi fingerprint-based localization has been
one of the most attractive solutions, which is known to be free of extra infrastructure and …