About: Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors

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About: Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
Creator	Alonso-Fernandez, Fernando Englund, Cristofer Svanstrm, Fredrik
source	ArXiv
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.
has issue date	2020-07-14(xsd:dateTime)
has license	arxiv
sha1sum (hex)	955b933dce8c2eb466f4be9034a5f1ae3ad48930
resource representing a document's title	Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors
resource representing a document's body	covid:955b933dce8c2eb466f4be9034a5f1ae3ad48930#body_text
is schema:about of	named entity 'distance' named entity 'helping' named entity 'thermal infrared' named entity 'dataset' named entity 'infrared' »more»

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