ADVANCED HUMAN MACHINE INTERFACES FOR DRONE MONITORING: ASSESSMENT OF THE TECHNOLOGICAL FRAMEWORK FOR THE DESIGN OF AN AUGMENTED REALITY INTERFACE

The growing deployment of unmanned aerial systems (UASs) and electrical Vertical Take-Off and Landing vehicles(eVTOLs) necessitates advanced solutions for collision avoidance and unauthorized area management. This paper investigates the application of augmented reality (AR) for enhanced monitoring and control of UAS traffic, especially in non-collaborative or hazardous scenarios. By leveraging concepts from SESAR projects, including RETINA and DTT, the study introduces a novel AR interface designed for real-time visualization ofdrone telemetry and geo referenced data. This interface, tailored for airport tower control and remote piloting, aims to streamline situational awareness by integrating critical surveillance information into a head-up display. Preliminary tests with simulated drone incursions promise substantial improvements in operator efficiency and situational awareness. This study provides a framework for the safe and efficient integration of UASs into controlled airspace, highlighting the potential of AR interfaces to meet evolving air traffic management needs.