A survey of recent indoor localization scenarios and methodologies

T Yang, A Cabani, H Chafouk - Sensors, 2021 - mdpi.com
Recently, various novel scenarios have been studied for indoor localization. The trilateration
is known as a classic theoretical model of geometric-based indoor localization, with uniform …

Recent advances in pedestrian inertial navigation based on smartphone: A review

Q Wang, M Fu, J Wang, H Luo, L Sun, Z Ma… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Indoor location-based service is a hot research topic whose application market size is
expected to grow from 41 billion by 2022 and 58 billion by 2023. As a portable …

PSOSVRPos: WiFi indoor positioning using SVR optimized by PSO

J Bi, M Zhao, G Yao, H Cao, Y Feng, H Jiang… - Expert Systems with …, 2023 - Elsevier
Wireless fidelity (WiFi) indoor positioning has attracted the attention of thousands of
researchers. It faces many challenges, and the primary problem is the low positioning …

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 …

[HTML][HTML] A real-time fingerprint-based indoor positioning using deep learning and preceding states

M Nabati, SA Ghorashi - Expert Systems with Applications, 2023 - Elsevier
In fingerprint-based positioning methods, the received signal strength (RSS) vectors from
access points are measured at reference points and saved in a database. Then, this dataset …

GNSS-free outdoor localization techniques for resource-constrained IoT architectures: A literature review

A Moradbeikie, A Keshavarz, H Rostami, S Paiva… - Applied Sciences, 2021 - mdpi.com
Large-scale deployments of the Internet of Things (IoT) are adopted for performance
improvement and cost reduction in several application domains. The four main IoT …

Genetic algorithm for path loss model selection in signal strength-based indoor localization

B Lee, D Ham, J Choi, SC Kim, YH Kim - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Ranging methods using received signal strength (RSS) information are widely used for
indoor localization because they can be easily implemented without conducting site surveys …

Enhanced wifi csi fingerprints for device-free localization with deep learning representations

J Xue, J Zhang, Z Gao, W Xiao - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
With the increasing demands for location-based services in the indoor environments and the
widespread deployment of WiFi devices, WiFi-based indoor localization techniques have …

Self-calibrated multi-floor localization based on wi-fi ranging/crowdsourced fingerprinting and low-cost sensors

Q Wan, X Duan, Y Yu, R Chen, L Chen - Remote Sensing, 2022 - mdpi.com
Crowdsourced localization using geo-spatial big data has become an effective approach for
constructing smart-city-based location services with the fast growing number of Internet of …

H2LWRF-PDR: An efficient indoor positioning algorithm using a single Wi-Fi access point and Pedestrian Dead Reckoning

R Kumar, J Torres-Sospedra, VK Chaurasiya - Internet of Things, 2024 - Elsevier
Indoor localization is challenging in densely populated urban areas due to the multipath
effect, attenuation, noise, and difficulty finding reliable Wi-Fi access points. In urban flats …