
University of Houston Develops 'Verifiable' Safety Supervisor System for Drones
University of Houston engineer Marzia Cescon has developed a 'Safety Supervisor' software module that uses Control Barrier Functions (CBF) to monitor a quadrotor drone's tilt angle and position in real time, mathematically guaranteeing the aircraft stays within safe flight boundaries. The research, published in the ASME Journal of Dynamic Systems, Measurement, and Control, lays the mathematical groundwork for regulatory certification of future BVLOS autonomous flight.
Source: DroneXL










