Multi-sensor drone tracking
The main application is the continuous detection and tracking of drones in environments where low-altitude airspace must be monitored. The system integrates radar, synthetic-vision and ADS-B information to generate a coherent estimate of each target’s position and movement. The bank of Kalman filters adapts tracking to different movement patterns, improves trajectory prediction and reduces false alarms. This is useful at airports, critical facilities, borders, large public events and restricted areas.
Greater accuracy and earlier warning of threats
The main benefit is improved surveillance and response capability against unauthorised or potentially dangerous drones. By fusing several data sources, the solution provides more reliable tracking than single-sensor systems. Estimation using Kalman filters predicts trajectories, compensates for measurement errors and maintains tracks under complex conditions. This supports operational decision-making, reduces response times and strengthens security at critical infrastructure, in controlled airspace and in defence environments.