In this paper, a novel approach based on Machine Learning (ML) concept, ie, the Adaptive
Stochastic Gradient Descent Linear Regression (ASGDLR) algorithm, is developed to …

Positioning systems have become increasingly popular in the last decade for location-based
services, such as navigation, and asset tracking and management. As opposed to outdoor …

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 …

In recent years, wearable performance monitoring systems have become increasingly
popular in competitive sports. Wearable devices can provide vital information including …

Automated Guided Vehicles (AGV) are unmanned transport vehicles widely used in the
industrial sector to substitute manned industrial trucks and conveyors. In order to guarantee …

This article presents sensor fusion techniques for ultra-wideband-based localization to
achieve sufficient accuracy and robustness for the control of vehicles in an industrial …

This work presents the CODEUS platform, which includes a simulation tool together with an
online experimental demonstrator to offer analysis and testing flexibility for researchers and …

Despite their enormous potential, the use of indoor localization systems (ILS) remains
seldom. One reason is the lack of market transparency and stakeholders' trust in the …

Monte Carlo localization (MCL) may fail to localize an arbitrarily moved mobile robot under
extreme disturbances. Inspired by the strategy of finding a missing person (SFMP), this …

Due to rapid urban development, many indoor and semi-indoor structures, such as
underground malls, metro stations, and bus-stops, have emerged. Traditional GNSS outdoor …