DroneRF dataset: a radio frequency (RF) based dataset of drones functioning in different modes, including off, on and connected, hovering, flying, and video recording. The dataset contains recordings of RF activities, composed of 227 recorded segments collected from 3 different drones, as well as recordings of background RF activities with no drones. The data has been collected by RF receivers that intercepts the drone’s communications with the flight control module. The receivers are connected to two laptops, via PCIe cables, that runs a program responsible for fetching, processing and storing the sensed RF data in a database. The dataset can be used in drone detection, drone identification and drone tracking
The current classification of RF signals from the drone is achieved by leveraging raw signal informa...
International audienceWe propose a novel approach for drone detection and classification based on RF...
This paper presents a path-loss model based on a radio-frequency (RF) detection scheme for various d...
DroneRF dataset: a radio frequency (RF) based dataset of drones functioning in different modes, incl...
Modern technology has pushed us into the information age, making it easier to generate and record va...
Modern technology has pushed us into the information age, making it easier to generate and record va...
This database contains IQ-baseband recordings of 10 consumer/prosumer drones’ radio-control and vide...
The usage of Unmanned Aerial Vehicles (UAVs) is accessible for different applications to a wide rang...
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, secu...
Drone onboard multi-modal sensor dataset : This dataset contains timeseries data from numerous dron...
This is RF drone database. For the research and development purposes of new of anti drone (ADRO) pro...
Drones have carried weapons, drugs, explosives and illegal packages in the recent past, raising stro...
In this work, we show how drone detection and classification can be enabled by leveraging a database...
There is a need to enhance a current Radio Frequency Signal Classification (RF-Class) toolbox that c...
The continuous development of inexpensive embedded sensors has led to the rapid proliferation of new...
The current classification of RF signals from the drone is achieved by leveraging raw signal informa...
International audienceWe propose a novel approach for drone detection and classification based on RF...
This paper presents a path-loss model based on a radio-frequency (RF) detection scheme for various d...
DroneRF dataset: a radio frequency (RF) based dataset of drones functioning in different modes, incl...
Modern technology has pushed us into the information age, making it easier to generate and record va...
Modern technology has pushed us into the information age, making it easier to generate and record va...
This database contains IQ-baseband recordings of 10 consumer/prosumer drones’ radio-control and vide...
The usage of Unmanned Aerial Vehicles (UAVs) is accessible for different applications to a wide rang...
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, secu...
Drone onboard multi-modal sensor dataset : This dataset contains timeseries data from numerous dron...
This is RF drone database. For the research and development purposes of new of anti drone (ADRO) pro...
Drones have carried weapons, drugs, explosives and illegal packages in the recent past, raising stro...
In this work, we show how drone detection and classification can be enabled by leveraging a database...
There is a need to enhance a current Radio Frequency Signal Classification (RF-Class) toolbox that c...
The continuous development of inexpensive embedded sensors has led to the rapid proliferation of new...
The current classification of RF signals from the drone is achieved by leveraging raw signal informa...
International audienceWe propose a novel approach for drone detection and classification based on RF...
This paper presents a path-loss model based on a radio-frequency (RF) detection scheme for various d...