Systems for determining the position of objects inside buildings have a wide range of
applications, such as the surveillance of people's movements in hospitals, and of goods or …

During the last decade, Convolutional Neural Networks (CNNs) have been recognized as
one of the most promising machine learning methods that are being utilized for deep …

The novel approach to the Low Energy Bluetooth RSSI (Received Signal Strength Indicator)
examination for a personal location during the evacuation process is presented in this …

Traditional localization systems often rely on a network of external sensors, making the
setups cumbersome, expensive, and requiring significant calibration effort. The advent of …

Self-localization problem of mobile robots is a crucial part of autonomous navigation,
especially indoor environments, where the usage of GNSS technology is impossible. There …

Projekat MISSION4. 0 podrazumevao je, u okviru nekoliko radnih paketa, razvoj
inteligentnog stereovizuelnog upravljanja mobilnih robota, kao i optimalno planiranje i …