Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview

N Singh, S Choe, R Punmiya - IEEE access, 2021 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Precision positioning for smart logistics using ultra-wideband technology-based indoor navigation: A review

M Elsanhoury, P Mäkelä, J Koljonen, P Välisuo… - Ieee …, 2022 - ieeexplore.ieee.org
Logistics is an important driver for the competitiveness of industries and material supply. The
development of smart logistics, powered by precise positioning and communication …

A survey of machine learning for indoor positioning

A Nessa, B Adhikari, F Hussain, XN Fernando - IEEE access, 2020 - ieeexplore.ieee.org
Widespread proliferation of wireless coverage has enabled culmination of number of
advanced location-based services (LBS). Continuous tracking of accurate physical location …

A survey of machine learning techniques for indoor localization and navigation systems

P Roy, C Chowdhury - Journal of Intelligent & Robotic Systems, 2021 - Springer
In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

Review of indoor positioning: Radio wave technology

T Kim Geok, K Zar Aung, M Sandar Aung, M Thu Soe… - Applied Sciences, 2020 - mdpi.com
The indoor positioning system (IPS) is becoming increasing important in accurately
determining the locations of objects by the utilization of micro-electro-mechanical-systems …

DNN-based indoor localization under limited dataset using GANs and semi-supervised learning

W Njima, A Bazzi, M Chafii - IEEE access, 2022 - ieeexplore.ieee.org
Indoor localization techniques based on supervised learning deliver great performance
accuracy while maintaining low online complexity. However, such systems require massive …

IoT and digital twin enabled smart tracking for safety management

Z Zhao, L Shen, C Yang, W Wu, M Zhang… - Computers & Operations …, 2021 - Elsevier
Modern warehousing systems for fresh and cold-keeping storage, have presented
characteristics of complex operation procedures, accelerated operating pace, and high …

A survey of magnetic-field-based indoor localization

G Ouyang, K Abed-Meraim - Electronics, 2022 - mdpi.com
Magnetic fields have attracted considerable attention in indoor localization due to their
ubiquitous and infrastructure-free characteristics. This survey provides a comprehensive …

Supplementary open dataset for WiFi indoor localization based on received signal strength

J Bi, Y Wang, B Yu, H Cao, T Shi, L Huang - Satellite Navigation, 2022 - Springer
Abstract Several Wireless Fidelity (WiFi) fingerprint datasets based on Received Signal
Strength (RSS) have been shared for indoor localization. However, they can't meet all the …

Paving the way with machine learning for seamless indoor–outdoor positioning: A survey

M Mallik, AK Panja, C Chowdhury - Information Fusion, 2023 - Elsevier
Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …