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 …

Location‐based services have attracted significant attention since the concept of Industry 4.0
was proposed and the 'Internet+'era began owing to its social and commercial value. Many …

Demands for indoor positioning based services (IPS) in commercial and military fields have
spurred many positioning systems and techniques. Complex electromagnetic environments …

An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor
scenarios has been sought for many years. The number of technologies, techniques, and …

Current and future wireless applications strongly rely on precise real-time localization. A
number of applications, such as smart cities, Internet of Things (IoT), medical services …

One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …

Machine learning (ML) has a well-established reputation for successfully enabling
automation through its scalable predictive power. Industry 4.0 encapsulates a new stage of …

Advances in computer vision and machine learning techniques have led to significant
development in 2D and 3D human pose estimation from RGB cameras, LiDAR, and radars …

A receive signal strength (RSS) fingerprinting-based indoor wireless localization system (I-
WLS) uses a localization machine learning (ML) algorithm to estimate the location of an …

Seamless positioning and navigation requires an integration of outdoor and indoor
positioning systems. Until recently, these systems mostly function in-silos. Though GNSS …