Drone Detection and Tracking in Real-Time by Fusion of Different Sensing Modalities is a research paper by Fredrik Svanström, Fernando Alonso-Fernandez, and Cristofer Englund.
The automatic detection of flying drones is a critical concern, especially when their presence is unauthorized, potentially leading to risky situations or security compromises. This study presents the design and evaluation of a multi-sensor drone detection system. Alongside standard video cameras and microphone sensors, we explore the implementation of thermal infrared cameras, an under-addressed yet promising solution in the existing literature. To enhance coverage, a fish-eye camera is integrated to monitor a wider portion of the sky and direct other cameras toward objects of interest. Our sensing solutions are Comsupplemented with an ADS-B receiver, a GPS receiver, and a radar module. However, the latter was ultimately excluded from our final deployment due to its limited detection range.