The best-tracked target is defined as the one with the longest track history. YouTube channel VIRTUAL AIRFIELD operated by SK678387. It also includes other flying objects that can be mistakenly detected as drones, such as birds, airplanes or helicopters. Descriptions of the videos are found in "Video_dataset_description.xlsx". "Svanstrm F, Alonso-Fernandez F and Englund C. (2021). its variants. of Mathematics, Computer Science and Physics, Chair: At this level, we can not only detect but also recognize the different objects, albeit without necessarily identifying them, i.e. The color palette can be changed for the interpolated image format, and several other image processing features are also available. To achieve the pan/tilt motion, two Hitec HS-7955TG servos are used. If all images are extracted from all the videos the dataset has a total of 203328 annotated images. However, this detection was done manually by a person looking at the live video stream. To supply the servos with the necessary voltage and power, both a net adapter and a DC-DC converter are available. Three different drones are used to collect and compose the dataset: Hubsan H107D+, a small-sized first-person-view (FPV) drone, the high-performance DJI Phantom 4 Pro, and finally, the medium-sized kit drone DJI Flame Wheel in quadcopter (F450) configuration. These drones differ in size, with Hubsan H107D+ being the smallest, with a side length from motor-to-motor of 0.1m. The Phantom 4 Pro and the DJI Flame Wheel F450 are slightly larger with 0.3 and 0.4m motor-to-motor side lengths, respectively. A Pololu Mini Maestro 12-Channel USB servo controller is included. The military scenario to this challenge is to improve capabilities to protect people and equipment against the threat of misuse of small (Class I) UAS such as hobby drones. Examples of varying weather conditions in the dataset. Some other parts from Actobotics are also used in the mounting of the system, and the following has been designed and 3D-printed: adapters for the IR-, video- and fish-eye lens cameras, and a case for the servo controller and power relay boards. The background sound class contains general background sounds recorded outdoor in the acquisition location and includes some clips of the sounds from the servos moving the pan/tilt platform where the sensors were mounted. Pan/tilt motion is achieved with two Hitec HS-7955TG servos. Free to download, use and edit. Whitepaper on thermal DRI. Proceedings of the International Conference on Computer Vision Systems. aAir Defence Regiment, Swedish Armed Forces, Sweden, bCenter for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad SE 301 18, Sweden, cRISE, Lindholmspiren 3A, Gothenburg SE 417 56, Sweden. Real-Time Drone Detection and Tracking With Visible, Thermal and Acoustic Sensors". To record data in the visible range of the spectrum, a Sony HDR-CX405 video camera (Vcam) is used, which provides data through an HDMI port. The version used in this work is an F450 quadcopter. The largest distance between the sensors and a drone in the database is 200m. All videos are in mp4 format. The data contained in the database can be used as-is without filtering or enhancement. 6. To address this issue, we develop a model-based drone augmentation technique that automatically generates drone images with a bounding box label on drones location. These files are Matlab Ground-Truth objects and using the Matlab video labeller app, the videos and respective label files can easily be opened, inspected, and even edited. The experiments show that, even being trained on synthetic data, the proposed system performs well on real world drone images with complex background. Results of this challenge will be presented and discussed in a special session of ICMCIS. The dataset can be used for multi-sensor drone detection and tracking. Further information is provided here. A Dataset for Multi-Sensor Drone Detection". Link to ICPR2020-paper THE USC DRONE DATASET PROVIDED HEREUNDER IS ON AN AS IS BASIS, AND THE UNIVERSITY OF SOUTHERN CALIFORNIA HAS NO OBLIGATIONS TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. The data has been obtained at three airports in Sweden: Halmstad Airport (IATA code: HAD/ICAO code: ESMT), Gothenburg City Airport (GSE/ESGP) and Malm Airport (MMX/ESMS). 2017. The majority of the solutions developed to counter such UASssofar use a mix of sensors to detect and track drones entering a protected flight zone. Jrgen GROSCHE, Germany This goes in parallel with (intentional or unintentional) misuse episodes, with an evident threat to the safety of people or facilities [1]. Bethesda, MD 20894, Web Policies (a) Hubsan H107D+. This outputs a 1024768 video stream in Mjpg-format at 30 FPS via a USB connector. Since the servos have shown a tendency to vibrate when holding the platform in specific directions, a third channel of the servo controller is also used to give the possibility to switch on and off the power to the servos using a small optoisolated relay board. Aviation International News .
The role of the fish-eye camera is not to detect specific classes but to detect moving objects in its field of view. In that paper, the authors were able to detect three different drone types up to 100m. The database is complemented with 90 audio files of the classes drones, helicopters and background noise. As mentioned, the IR- and video cameras are mounted on a pan/tilt platform. The thermal infrared camera (IRcam) employed is a FLIR Breach PTQ-136 with the FLIR Boson sensor, having 320256 pixels of resolution. Taha B., Shoufan A. We use variants to distinguish between results evaluated on Dag WILHELMSEN, Norway, MS Cristina MELILLA, University of Udine, Dept. The data does not include human subjects or animals. The https:// ensures that you are connecting to the The audio part has 90 ten-second files in wav-format with a sampling frequency of 44100Hz. The output from the IRcam is sent to the laptop via a USB-C port at a rate of 60 frames per second (FPS). Occasionally occurring in the dataset are also the black kite (Milvus migrans) of the Accipitridae family and the Eurasian skylark (Alauda arvensis) of the lark family (Alaudidae). The .gov means its official. For the protection of people, animals and property which are unrelated to the flight, there must be a horizontal safety distance between these and the unmanned aircraft throughout the flight. The lack of proper UAV detection studies employing thermal infrared cameras is also acknowledged as an issue, despite its success in detecting other types of targets [2]. Permission is hereby granted, free of charge, to any person obtaining a copy of the database and associated documentation files (the USC DRONE DATASET), to deal in the database without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, and/or sell copies of the USC DRONE DATASET, and to permit persons to whom the dataset is furnished to do so, provided that the above copyright notice(s) and this paragraph and the following two paragraphs appear in all copies of the USC DRONE DATASET and in supporting documentation. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. The video part contains 650 infrared and visible videos (365 IR and 285 visible) of drones, birds, airplanes and helicopters. Since one of the objectives of this work is to explore performance as a function of the sensor-to-target distance, the video dataset has been divided into three distance category bins: Close, Medium and Distant. F. Svanstrm, C. Englund, F. Alonso-Fernandez, Real-Time Drone Detection and Tracking with Visible, Thermal and Acoustic Sensors. The sensors are mounted on a pan/tilt platform Servocity DDT-560H direct drive. Given that the drones must be flown within visual range due to regulations, the largest sensor-to-target distance for a drone in the dataset is 200m, and acquisitions are made in daylight. Datasets covering a range of scenarios, sensor types and drones are available on Kaggle for theICMCIS drone detection challenge. An example from a labeling session is shown in Fig. Dataset containing IR, visible and audio data to be used to train drone detection systems. The Fcam is used to feed a foreground/background detector based on Gaussian Mixture Models (GMM), which produces binary masks of moving objects. The sound of the distinct classes of the database is captured with a Boya BY-MM1 mini cardioid directional microphone, which is also connected to the laptop. On the lower left is the microphone, and above that is the fish-eye lens camera. the requirement for recognition according to DRI. It might be possible to use a simple microcontroller if the drone detection system trained and evaluated with the dataset uses only one sensor or a small number of them. It contains infrared and visible videos and audio files of drones, birds, airplanes, helicopters, and background sounds. Accessibility Dataset containing IR, visible and audio data that can be used to train and evaluate drone detection sensors and systems. A Pololu Mini Maestro 12-Channel USB servo controller is included so that the respective position of the servos can be controlled from the laptop. The database includes three different drones, a small-sized model (Hubsan H107D+), a medium-sized drone (DJI Flame Wheel in quadcopter configuration), and a performance-grade model (DJI Phantom 4 Pro). The dataset can be used to develop new algorithms for drone detection using multi-sensor fusion from infrared and visible videos and audio files. The audio in the dataset is taken from the videos or recorded separately. (b) The system deployed just north of the runway at Halmstad airport (IATA/ICAO code: HAD/ESMT). Shi X., Yang C., Xie W., Liang C., Shi Z., Chen J. Anti-drone system with multiple surveillance technologies. The use of small and remotely controlled unmanned aerial vehicles (UAVs), referred to as drones, has increased dramatically in recent years, both for professional and recreative purposes. To get a more comprehensive dataset, both in terms of aircraft types and sensor-to-target distances, our data has been completed with non-copyrighted material from the YouTube channel ``Virtual Airfield operated by SK678387'' [9], in particular 11 plus 38 video clips in the airplane and helicopter categories, respectively. It should be possible, however, to use the database (or parts of it) on-board a drone if, for example, the purpose of such drone is to find other drones. The Medium bin stretches from where the target is from 15 down to 5 pixels, hence around the DRI detection point, and the Distant bin is beyond that. will also be available for a limited time. Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks.APSIPA Transactions on Signal and Information Processing8 (2019). The field of view of the IR-camera is 24 horizontally and 19 vertically. Drone detection, UAV detection, Anti-drone systems. The site is secure. UAV-Human is a large dataset for human behavior understanding with UAVs. There are 30 files of each of the three output audio classes indicated in Table1. of Mathematics, Computer Science and Physics, DR Andrea TOMA, University of Udine, or The biggest challenge in adopting deep learning methods for drone detection is the limited amount of training drone images.
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