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Indoor positioning and wayfinding systems: a survey
Navigation systems help users access unfamiliar environments. Current technological
advancements enable users to encapsulate these systems in handheld devices, which …
advancements enable users to encapsulate these systems in handheld devices, which …
A survey on fusion-based indoor positioning
Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …
spurred many positioning systems and techniques. Complex electromagnetic environments …
MetaLoc: Learning to learn wireless localization
Existing localization methods that intensively leverage the environment-specific received
signal strength (RSS) or channel state information (CSI) of wireless signals are rather …
signal strength (RSS) or channel state information (CSI) of wireless signals are rather …
WiFi fingerprinting indoor localization using local feature-based deep LSTM
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 …
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
It is notable that localization accuracy using received signal strength (RSS) fingerprints
solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned …
solely is very vulnerable to dynamic environments. Utilizing multiple fingerprints gleaned …
Automatic radio map adaptation for indoor localization using smartphones
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 …
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
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 …
fingerprinting algorithm. The conventional KNN determines the neighbors of a user by …
DeepWiPos: A deep learning-based wireless positioning framework to address fingerprint instability
Wireless fingerprint localization technologies have drawn significant attention because of
their ubiquitous infrastructure and low energy consumption. However, they often suffer from …
their ubiquitous infrastructure and low energy consumption. However, they often suffer from …
Edge assisted mobile semantic visual SLAM
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 …
attracted numerous research efforts from both academic and industrial community. In recent …
Train once, locate anytime for anyone: Adversarial learning-based wireless localization
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 …
one of the most attractive solutions, which is known to be free of extra infrastructure and …