Indoor navigation has remained an active research area for the last decade. Unlike outdoor
environments, indoor environments have additional challenges, such as weak signals, low …

With the rise in popularity and use of fitness apps, more research is needed to learn more
about how people use the apps so that they keep using them. Stimulus-Organism-Behaviour …

Global navigation satellite system (GNSS) signals cannot be received indoors, thus to
deploy intelligent vehicles in underground car parks other localization methods are needed …

Indoor localization is of pivotal significance for a wide variety of services in the context of the
Internet of Things (IoT). Both ranging-based and fingerprint-based localization techniques …

With expected widespread implementation of 5G networks and 5G Internet of Things (IoT),
indoor localization is expected to become of even further importance. Although Global …

The outbreak of viruses have necessitated contact tracing and infection tracking methods.
Despite various efforts, there is currently no standard scheme for the tracing and tracking …

Fingerprint-based indoor localization is one of the most promising solutions for various
Intelligent Internet of Things (IIoT) systems. However, recent studies show that the key …

Indoor localization techniques have been extensively studied in the last decade. The well-
established technologies enable the development of Real-Time Location Systems (RTLS). A …

Automatic Guided Vehicles (AGVs) are crucial for improving the operational efficiency of
industrial scenes, however the self-localization of AGVs faces severe challenges in a …

3D LiDAR maps are playing a more and more important role in intelligent vehicle
localization. In this paper, the proposed SeqPolar localization method consists of two parts …