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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
Ranging methods using received signal strength (RSS) information are widely used for
indoor localization because they can be easily implemented without conducting site surveys …
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 …
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
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 …
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
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 …
effect, attenuation, noise, and difficulty finding reliable Wi-Fi access points. In urban flats …