Paper Info
Title
Real-Time Drone Detection And Tracking With Visible, Thermal And Acoustic Sensors
Abstract
This paper explores the process of designing an automatic multi-sensor drone detection system. Besides the common video and audio sensors, the system also includes a thermal infrared camera, which is shown to be a feasible solution to the drone detection task. Even with slightly lower resolution, the performance is just as good as a camera in visible range. The detector performance as a function of the sensor-to-target distance is also investigated. In addition, using sensor fusion, the system is made more robust than the individual sensors, helping to reduce false detections. To counteract the lack of public datasets, a novel video dataset containing 650 annotated infrared and visible videos of drones, birds, airplanes and helicopters is also presented% The database is complemented with an audio dataset of the classes drones, helicopters and background noise.
Year
DOI
Venue
2020
10.1109/ICPR48806.2021.9413241
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)
DocType
ISSN
Citations 
Conference
1051-4651
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Fredrik Svanstrom100.34
Cristofer Englund210813.79
Fernando Alonso-Fernandez353137.65