The estimation algorithm of operative capabilities of complex countermeasures to resist UAVs

SIMULATION ◽  
2018 ◽  
Vol 95 (6) ◽  
pp. 569-573
Author(s):  
Igor Korobiichuk ◽  
Yuriy Danik ◽  
Oleksyj Samchyshyn ◽  
Sergiy Dupelich ◽  
Maciej Kachniarz

The proposed observation model provides for calculating the probability of detection of different types of unmanned aerial vehicle (UAV) at a certain range with regard to their tactical and technical characteristics and security equipment capabilities. The comparison of the obtained values of generalized indicators of security equipment use efficiency is based on a specified criterion. To take into account factors that significantly affect a modeling object, calculations are carried out under specified conditions and restrictions. UAVs should be detected until a covering object gets in a swath width given the time required for countermeasures. Based on the software implementation of the algorithm we have evaluated the efficiency of use of hypothetical security equipment for detecting certain types of UAVs, and defined means of further use or improvement.

2011 ◽  
Vol 308-310 ◽  
pp. 1426-1435 ◽  
Author(s):  
Zahari Taha ◽  
Vin Cent Tai ◽  
Phen Chiak See

This paper describes the design and manufacture of a Miniature Unmanned Aerial Vehicle (MUAV) using the StratasysTM 3D Rapid Prototyping (RP) machine. The main motivation for this work is to demonstrate the rapid product development capabilities of the machine. The polymeric material used in this process is Acrylonitrile-Butadiene-Styrene (ABS). Its superior properties allow the MUAV structure to be built accurately to design specifications. The advantage of this approach is the shorter time required for design, fabrication and deployment.


2019 ◽  
Vol 14 (1) ◽  
pp. 27-37
Author(s):  
Matúš Tkáč ◽  
Peter Mésároš

Abstract An unmanned aerial vehicle (UAVs), also known as drone technology, is used for different types of application in the civil engineering. Drones as a tools that increase communication between construction participants, improves site safety, uses topographic measurements of large areas, with using principles of aerial photogrammetry is possible to create buildings aerial surveying, bridges, roads, highways, saves project time and costs, etc. The use of UAVs in the civil engineering can brings many benefits; creating real-time aerial images from the building objects, overviews reveal assets and challenges, as well as the broad lay of the land, operators can share the imaging with personnel on site, in headquarters and with sub-contractors, planners can meet virtually to discuss project timing, equipment needs and challenges presented by the terrain. The aim of this contribution is to create a general overview of the use of UAVs in the civil engineering. The contribution also contains types of UAVs used for construction purposes, their advantages and also disadvantages.


2020 ◽  
Vol 32 ◽  
pp. 99-109
Author(s):  
Dimo Zafirov

The article presents an algorithm for development of a Long endurance electric multirotor unmanned aerial vehicle. Calculations for usage of different types of electric batteries have been made and dependencies of flight time for different weights of batteries have been obtained. Options for quadcopter and sixcopter have been considered.


Aviation ◽  
2016 ◽  
Vol 19 (4) ◽  
pp. 187-193 ◽  
Author(s):  
Valeriy Silkov ◽  
Mykola Delas

The article is dedicated to the substantiation of the complex parameter that characterizes the technical level of an unmanned aerial vehicle (UAV). This parameter includes the maximum lift-to-drag ratio, propeller efficiency, specific fuel consumption, and other components, on which the main flight characteristics, such as flight range and flight duration, depend. To make a comparative assessment of UAVs of different types, a special scale is developed.


Author(s):  
Haijie Zhang ◽  
Jianguo Zhao

As the development of computer vision and the popularity of unmanned aerial vehicle, using visual information to control the UAV motion becomes a hotspot. Time-to-contact is one of the concepts that is used to control robot motion such as braking, landing, perching, and obstacle avoidance based on visual information. In this paper, to explore the capability and potential of a direct featureless time-to-contact estimation algorithm for unmanned aerial vehicle motion control, we design an integrated unmanned aerial vehicle system and verify the accuracy of the featureless time-to-contact estimation algorithm. In addition, compressed sensing is combined with the featureless method in time-to-contact estimation to potentially improve the computational speed. The experiment results show that the featureless time-to-contact estimation algorithm, the developed UAV platform and compressed sensing can be readily applied for UAV vision based control.


Author(s):  
Witold Kinsner ◽  
Stephanie English ◽  
Curtis Einarson ◽  
Bryan Drobot ◽  
Kelly Riha ◽  
...  

Many challenges surround the engineeringdesign process of an unmanned aerial vehicle (UAV). Thispaper describes a composite of a capstone and tworesearch projects for the design of a navigation subsystemfor a UAV. These projects address control, stabilizationand autonomy of the vehicle with time-varying, nonlineardynamics in a challenging environment and variablepayloads. The paper provides theoretical and practicalsolutions, as well as alternatives to current controlapproaches for UAVs. The results are intended for thedesign of a UAV that can be used for different types ofoperations such as connecting isolated remotecommunities and reinforcing the sovereignty of countrieswithin their borders, without requiring traditional meansof protection.


2020 ◽  
Vol 1 (1) ◽  
pp. 34-41
Author(s):  
S Mosov ◽  
V Neroba ◽  
O Sieliukov

The article identifies the conditions and factors that will affect the operation of unmanned aerial vehicles during its use in emergencies. The purpose of the study is to systematize the conditions and factors that will affect the functioning of specific technical means of surveillance installed on the unmanned aerial vehicle. The study of conditions and factors was carried out with a preliminary determination of the general indicators of efficiency of specific technical means of observation installed on the drone, which include: the probability of detection and recognition of the object by the operator (pilot-operator) on the display screen; the scale of the image on the display screen; viewing angle of the species technical means of observation; transverse capture of the area during aerial surveillance with the help of specific technical means; spectral range of operation of the species technical means of observation and the height of observation. According to the results of research, the conditions and factors include: unmanned aerial vehicle; set task for observation (monitoring); terrain features; control by the pilot (pilot-operator); weather conditions; gusts of wind; season; time of day; drone vibrations during flight; atmospheric turbulence; control of specific technical means of observation by the operator (pilot-operator); temperature regime; the presence of a library of signatures of the object of observation. It is concluded that the results of the study of conditions and factors that will affect the use of specific technical means of observation installed on an unmanned aerial vehicle are the basis for developing relevant requirements for specific technical means of observation of visible and infrared wavelengths of the electromagnetic spectrum. Further research should be carried out in the following areas: development or purchase of unmanned aerial vehicles for observation during the prevention and elimination of emergencies; development of libraries of signatures of objects of observation; research of possibilities of application of spectrozonal or multispectral species equipment for observation; creation of special training grounds for training and retraining of pilots and operators of unmanned aerial vehicles, etc.


Author(s):  
Stepan V. Tishchenko ◽  
Stepan V. Artyshchenko

The paper deals with a mathematical model of the probability of detection of a point target by the operator of the payload of an optoelectronic device installed on an unmanned aerial vehicle, based on the use of the Johnson criterion and the binomial law of repeated tests


2021 ◽  
Vol 12 ◽  
Author(s):  
Ting Liang ◽  
Bo Duan ◽  
Xiaoyun Luo ◽  
Yi Ma ◽  
Zhengqing Yuan ◽  
...  

Identification of high Nitrogen Use Efficiency (NUE) phenotypes has been a long-standing challenge in breeding rice and sustainable agriculture to reduce the costs of nitrogen (N) fertilizers. There are two main challenges: (1) high NUE genetic sources are biologically scarce and (2) on the technical side, few easy, non-destructive, and reliable methodologies are available to evaluate plant N variations through the entire growth duration (GD). To overcome the challenges, we captured a unique higher NUE phenotype in rice as a dynamic time-series N variation curve through the entire GD analysis by canopy reflectance data collected by Unmanned Aerial Vehicle Remote Sensing Platform (UAV-RSP) for the first time. LY9348 was a high NUE rice variety with high Nitrogen Uptake Efficiency (NUpE) and high Nitrogen Utilization Efficiency (NUtE) shown in nitrogen dosage field analysis. Its canopy nitrogen content (CNC) was analyzed by the high-throughput UAV-RSP to screen two mixed categories (51 versus 42 varieties) selected from representative higher NUE indica rice collections. Five Vegetation Indices (VIs) were compared, and the Normalized Difference Red Edge Index (NDRE) showed the highest correlation with CNC (r = 0.80). Six key developmental stages of rice varieties were compared from transplantation to maturation, and the high NUE phenotype of LY9348 was shown as a dynamic N accumulation curve, where it was moderately high during the vegetative developmental stages but considerably higher in the reproductive developmental stages with a slower reduction rate. CNC curves of different rice varieties were analyzed to construct two non-linear regression models between N% or N% × leaf area index (LAI) with NDRE separately. Both models could determine the specific phenotype with the coefficient of determination (R2) above 0.61 (Model I) and 0.86 (Model II). Parameters influencing the correlation accuracy between NDRE and N% were found to be better by removing the tillering stage data, separating the short and long GD varieties for the analysis and adding canopy structures, such as LAI, into consideration. The high NUE phenotype of LY9348 could be traced and reidentified across different years, locations, and genetic germplasm groups. Therefore, an effective and reliable high-throughput method was proposed for assisting the selection of the high NUE breeding phenotype.


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