Unmanned Aerial Vehicle Applications for Military GIS Task Solutions

2021 ◽  
pp. 1092-1115
Author(s):  
Azad Agalar Bayramov ◽  
Elshan Giyas Hashimov ◽  
Yashar Ali Nasibov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Quantitative Method ◽  
Estimation Method ◽  
Mountainous Terrain ◽  
Numerical Estimation ◽  
Gis Technology ◽  
Geoinformation System ◽  
Task Support ◽  
Mountain Terrain ◽  
Aerial Vehicle

In the chapter, the authors present the results of unmanned aerial vehicle (UAV) applications for military geoinformation system (GIS) task solutions. The results of the visual modelling of the revealing process of invisible military objects from one of point of observation on the mountainous terrain of the Azerbaijan Republic by using UAV are presented. The observation conditions between two points of the selected mountain terrain during battle operation have been investigated using GIS technology. The quantitative method of the invisible area assessment and military objects in mountainous terrain are developed and offered by using UAVs. The numerical estimation method of a task support success of UAV reconnaissance flight in mountainous battle conditions has been offered and considered. Using UAVs for the purpose of orthophotomap making of the terrain and combat control the detailed 3D-model has been constructed.

Unmanned Aerial Vehicle Applications for Military GIS Task Solutions

2019 ◽  
pp. 273-296 ◽  
Author(s):  
Azad Agalar Bayramov ◽  
Elshan Giyas Hashimov ◽  
Yashar Ali Nasibov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Quantitative Method ◽  
Estimation Method ◽  
Mountainous Terrain ◽  
Numerical Estimation ◽  
Gis Technology ◽  
Geoinformation System ◽  
Task Support ◽  
Mountain Terrain ◽  
Aerial Vehicle

In the chapter, the authors present the results of unmanned aerial vehicle (UAV) applications for military geoinformation system (GIS) task solutions. The results of the visual modelling of the revealing process of invisible military objects from one of point of observation on the mountainous terrain of the Azerbaijan Republic by using UAV are presented. The observation conditions between two points of the selected mountain terrain during battle operation have been investigated using GIS technology. The quantitative method of the invisible area assessment and military objects in mountainous terrain are developed and offered by using UAVs. The numerical estimation method of a task support success of UAV reconnaissance flight in mountainous battle conditions has been offered and considered. Using UAVs for the purpose of orthophotomap making of the terrain and combat control the detailed 3D-model has been constructed.

scholarly journals Assessment of Invisible Areas and Military Objects in Mountainous Terrain

2018 ◽  
Vol 68 (4) ◽  
pp. 343 ◽  
Author(s):  
Azad Agalar Bayramov ◽  
Elshan Giyas Hashimov
Keyword(s):  
Quantitative Analysis ◽  
Unmanned Aerial Vehicle ◽  
Quantitative Method ◽  
Mountainous Terrain ◽  
Gis Technology ◽  
Flight Height ◽  
Aerial Vehicle ◽  
Armored Vehicles

During war activities, the evaluation of invisible areas and military armors in mountainous terrain is very important for assessment of operational-tactical situation in battlefield. This information can be used for prevention of an enemy sudden attack. In given paper, the quantitative method of the assessment of invisible areas and military objects in mountainous terrain is developed and offered by using Unmanned Aerial Vehicle. The probabilities of detection of invisible area or enemy object by using 1 and n UAVs are calculated. Previously obtained data by ArcGIS software (GIS technology) have been used for calculations and evaluations the number of invisible areas and military objects. The analysis of the dependence of effectiveness of revealing and localization areas and military objects on UAV number has been carried out. It was established that for quantitative analysis of invisible areas it is more efficiently to use one UAV, but for detection of armored vehicles and military objects it is more efficiently to use several UAV. Our experiments in mountainous conditions had shown that at flight height 300 m and battle-front 2,5 km putting 3-5 UAVs is real. In this case, all of them perform operational mission and return to base.

scholarly journals Deep learning–based fifth-generation millimeter-wave communication channel tracking for unmanned aerial vehicle Internet of things networks

2019 ◽  
Vol 15 (8) ◽  
pp. 155014771986588 ◽  
Author(s):  
Shan Meng ◽  
Xin Dai ◽  
Bicheng Xiao ◽  
Yimin Zhou ◽  
Yumei Li ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Unmanned Aerial Vehicle ◽  
Millimeter Wave ◽  
Estimation Method ◽  
Attitude Estimation ◽  
Base Stations ◽  
Communication Link ◽  
Multiple Sensors ◽  
Channel Tracking ◽  
Aerial Vehicle

Using unmanned aerial vehicle as movable base stations is a promising approach to enhance network coverage. Moreover, movable unmanned aerial vehicle–base stations can dynamically move to the target devices to expand the communication range as relays in the scenario of the Internet of things. In this article, we consider a communication system with movable unmanned aerial vehicle–base stations in millimeter-Wave. The movable unmanned aerial vehicle–base stations are equipped with antennas and multiple sensors for channel tracking. The cylindrical array antenna is mounted on the movable unmanned aerial vehicle–movable base stations, making the beam omnidirectional. Furthermore, the attitude estimation method using the deep neural network can replace the traditional attitude estimation method. The estimated unmanned aerial vehicle attitude information is combined with beamforming technology to realize a reliable communication link. Simulation experiments have been performed, and the results have verified the effectiveness of the proposed method.

scholarly journals A Wind Estimation Method with an Unmanned Rotorcraft for Environmental Monitoring Tasks

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4504 ◽  
Author(s):  
Jia-Ying Wang ◽  
Bing Luo ◽  
Ming Zeng ◽  
Qing-Hao Meng
Keyword(s):  
Environmental Monitoring ◽  
Drag Coefficient ◽  
Wind Velocity ◽  
Unmanned Aerial Vehicle ◽  
Estimation Method ◽  
Velocity Estimation ◽  
Extended State Observer ◽  
Wind Disturbance ◽  
Extended State ◽  
Aerial Vehicle

Wind velocity (strength and direction) is an important parameter for unmanned aerial vehicle (UAV)-based environmental monitoring tasks. A novel wind velocity estimation method is proposed for rotorcrafts. Based on an extended state observer, this method derives the wind disturbance from rotors’ speeds and rotorcraft’s acceleration and position. Then the wind disturbance is scaled to calculate the airspeed vector, which is substituted into a wind triangle to obtain the wind velocity. Easy-to-implement methods for calculating the rotorcraft’s thrust and drag coefficient are also proposed, which are important parameters to obtain the wind drag and the airspeed, respectively. Simulations and experiments using a quadrotor in both hovering and flight conditions have validated the proposed method.

Fast Pose Estimation Method for Unmanned Aerial Vehicle Based on Rectangular Geometry Feature

2016 ◽  
Vol 43 (5) ◽  
pp. 0508006
Author(s):  
洪洋 Hong Yang ◽  
孙秀霞 Sun Xiuxia ◽  
王栋 Wang Dong ◽  
刘树光 Liu Shuguang ◽  
王瀚林 Wang Hanlin
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Pose Estimation ◽  
Estimation Method ◽  
Aerial Vehicle ◽  
Geometry Feature
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