Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities

Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities

Blog Article

Automatic detection of flying drones is a key issue where its presence, especially if unauthorized, can create risky situations or compromise security.Here, we design and evaluate a multi-sensor drone detection system.In conjunction with standard video cameras and microphone sensors, we explore the use of thermal infrared cameras, pointed out as a feasible and promising solution that is scarcely addressed in the related literature.Our solution integrates a fish-eye camera as well to monitor a Design Wall Fabric wider part of the sky and steer the other cameras towards objects of interest.The sensing solutions are complemented with an ADS-B receiver, a GPS receiver, and a radar module.

However, our final deployment has not included the latter due to its limited detection range.The thermal camera is shown to be a feasible solution as good as the video camera, even if the camera employed here has a lower resolution.Two other novelties of our work are the creation of a new public dataset of multi-sensor annotated Reed data that expands the number of classes compared to existing ones, as well as the study of the detector performance as a function of the sensor-to-target distance.Sensor fusion is also explored, showing that the system can be made more robust in this way, mitigating false detections of the individual sensors.