Although Maxwell discovered the physical laws of electromagnetic waves 160 years ago,
how to precisely model the propagation of an RF signal in an electrically large and complex …

Small unmanned aerial vehicles (UAV) have penetrated multiple domains over the past
years. In GNSS-denied or indoor environments, aerial robots require a robust and stable …

Ultra-wideband technology has emerged in recent years as a robust solution for localization
in GNSS denied environments. In particular, its high accuracy when compared to other …

Some of the recent developments in data science for worldwide disease control have
involved research of large-scale feasibility and usefulness of digital contact tracing, user …

The community of indoor positioning research has identified the need for a paradigm shift
towards more reproducible and open research dissemination. Despite recent efforts to …

Ultra-wideband (UWB) time-difference-of-arrival (TDOA)-based localization has emerged as
a promising, low-cost, and scalable indoor localization solution, which is especially suited …

Using Angle-of-Arrival based on Phase-Difference-of-Arrival is a recent trend in indoor
positioning. Although the basic techniques for direction estimation have been known and …

Improving performance and safety conditions in industrial sites remains a key objective for
most companies. Currently, the main goal is to be able to dynamically locate both people …

Conventional deep learning approaches for indoor localization often suffer from their
reliance on high-quality training samples and display limited adaptability across varied …

Nowadays, an increasing amount of attention is being devoted towards passive and non-
intrusive sensing methods. The prime example is healthcare applications, where on-body …