Recent years have shown a noticeable rise in the number of incidents with drones, related to both civilian and military installations. While drone neutralization techniques have become increasingly effective, detection most often relies on professional equipment, which is too expensive to be used for all critical nodes and applications. Therefore, there is a need for drone detection systems that could work on low performance hardware. Its critical component consists of an object detection system. In this article, we introduce a new object detection dataset, built entirely to train computer vision based object detection machine learning algorithms for a task of binary object detection to enable automated, industrial camera based detection of multiple drone objects using camera feed. The dataset expands existing multiclass image classification and object detection datasets (ImageNet, MS-COCO, PASCAL VOC, anti-UAV) with a diversified dataset of drone images. In order to maximize the effectiveness of the model, real world footage was utilized, transformed into images and hand-labelled to create a custom set of 56821 images and 55539 bounding boxes. Additionally, semi-automated labelling was proposed, tested and proved to be very useful for object detection applications. The dataset was divided into train and test subsets for further processing and used to generate 603 easily deployable Haar Cascades as well as 819 high performing Deep Neural Networks based models. They were used to test different object detection methods to determine the long term feasibility of a large scale drone detection system utilizing machine learning algorithms. The study has shown that Haar Cascade can be used as the Minimum Viable Product model for mediocre performance but fails to scale up effectively for a larger dataset compared to the Deep Neural Network model.

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Real World Object Detection Dataset for Quadcopter Unmanned Aerial Vehicle Detection

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Improvement of variational-gradient method in dynamical systems of automated control for integro-differential models

In this paper, a control scheme based on lookup table fuzzy proportionalintegral-derivate (PID) controller for the quadrotor unmanned aerial vehicle (UAV) movement control is proposed. This type of control provides enhanced quadrotor movement control beyond what can be achieved with conventional controllers and has a less computational burden on the processor. The proposed control scheme uses three lookup table based fuzzy logic controllers to control the different movement ranges of a quadrotor (i.e. roll, pitch, and yaw) to achieve stability. The mathematical model of a quadrotor, used to design the proposed controller, is derived based on the Lagrange approach. The processor in the loop (PIL) technique was used to test and validate the proposed control scheme. MATLAB/Simulink environment was used as a platform for the quadrotor model, whereas a low cost and high-performance STM32F407 microcontroller was used to implement the controllers. Data transfer between the hardware and software is via serial communication converter. The control system designed based on simulation is tested and validated using “processor in the loop” techniques.

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Flight parameters improvement for an unmanned aerial vehicle using a lookup table based fuzzy PID controller

The Earth's aerospace monitoring (ASM) systems use state-of-the-art integrated information technologies that include radio-based detection and surveillance systems using telecommunications. One of the main tasks of ASM systems is to increase the efficiency of decision-making necessary for the timely prevention, detection, localization and elimination of crisis situations and their probable consequences. Modern conditions impose stricter requirements for efficiency, reliability and quality of the provided video data. To ensure compliance with the requirements, it is necessary to provide the appropriate capabilities of the onboard equipment. On the basis of the existing information and communication systems it is necessary to carry out: continuous or periodic assessment of a condition of objects of supervision and control; continuous (operational) collection, reception, transmission, processing, analysis and display of information resources. It is proposed to use UAVs (unmanned aerial vehicles) as a means to perform ASM tasks. The time of organizing communication sessions and delivery of information should vary from a few seconds to 2.5 hours. Untimely processing and delivery of a specific information resource in the management process leads to its obsolescence or loss of relevance, which contributes to erroneous decisions. One way to reduce time is to encode the data. To do this, it is proposed to use video compression algorithms. However, based on the analysis of the possibility of modern methods of video information compression, taking into account the specifics of the onboard equipment of the UAV, the coding problem is not completely solved. The research results show the expediency of using an improved method of video information compression to reduce the computing resources of the software and hardware complex of the onboard UAV equipment and to ensure the requirements for efficiency and reliability of data in modern threats to ASM systems as a whole.

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Development of AN Advanced Method of Video Information Resource Compression in Navigation and Traffic Control Systems

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Radiation characteristics of the aperture antenna with two-layer conic radome

The following study is devoted to the problem of prevention harmful missions led by small offensive Unmanned Aerial Vehicles (UAV). The main goal of the report is to familiarize the reader with a general methodology for counteracting offensive UAV. In this report the authors state that counter UAV methodology comprise of several stages: threats identification, preparation to prevention, active counteracting, evaluation and improvement of the anti-UAV counteraction system. In recommendations, the authors describe two non-excluding practical approaches to countering hostile UAVs: offensive counter UAV and defensive counter UAV. Which concern with two different criteria: to destroy as many UAV as possible and to protect high value assets from threats of UAVs.

General Approach to Counter Unmanned Aerial Vehicles

In report the state and prospects of development of technical support system of antiaircraft missile armament are considered. Its further development is defined based on the maintenance and repair strategy according to technical state of antiaircraft missile armament combined with the life cycle support system. The structure of technical support system of AME of the Air Force of Ukraine is offered. The main tasks of the system components are considered. The requirements to the devices for monitor and diagnostic of technical state of a military product are developed. The indexes for estimation of a military products state in support system of decision-making are defined. The features of technical realization and the tasks, which need to solve, are formed.

Informational support system for technical state control of military equipment

The following study is devoted to the problem of preventing offensive missions led with small Unmanned Aerial Vehicles (UAVs). The main goal of the paper is to familiarize the reader with a general methodology for counteracting offensive UAVs. In this paper, the authors describe counter UAV approach, which includes several stages, such as: the identification of threats, the development of prevention measures, active counteracting (including: detection, tracking, identification, evaluation, decision making and counteraction), evaluation and improvement of the anti-UAV counteraction system.In the recommendations, the authors give two non-exclusive practical approaches to countering hostile UAVs: the offensive counter UAV and the defensive counter UAV, which concern wide range of different strategies from “destroy as many UAVs as possible” to “protect all high value assets from UAVs threats”.

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At the limit financing conditions the generally received direction of providing of the operable condition of products is transition from regulated strategy of maintenance and repair to strategy of maintenance and repair according to state. This strategy provides periodic execution of the limit state check for each compound technical objects. The decision about further operation of object is made as the result of limit state check. The planning method of compound technical objects exit into repair during operation according to state allows divide the same type compound technical objects into two groups. The objects from the first group will not need repair during the next year. The objects from the second group needs repair during the next year. The recommendations for practical use of the method isn't developed. In the present paper we will develop some recommendations for practical use of the planning method of compound technical objects exit into repair during operation according to state. Also we will attach this method with the equations for prediction functions of mean-time-to-failure for the next year and use the method to four radio electronic means for planning of their exit into repair during operation according to state, the planning sequence is attached with the equations for prediction functions of mean-time-to-failure for the next year.

Recommendations for Practical Use of the Planning Method of Compound Technical Objects Exit Into Repair During Operation According to State

The article explores the problem of alternative navigation support for high-precision weapons that use guidance based on signals from global navigation systems. It proposes the use of an autonomous...

Pavlo Open’ko

Papers

General Approach to Counter Unmanned Aerial Vehicles

Informational support system for technical state control of military equipment

General Approach to Counter Unmanned Aerial Vehicles

Recommendations for Practical Use of the Planning Method of Compound Technical Objects Exit Into Repair During Operation According to State

Model of an alternative navigation system for high-precision weapons: