Unmanned aerial vehicle technology to assess the state of threatened biogenic formations: The vermetid reefs of mediterranean intertidal rocky coasts

Much of aerospace academia is anticipating a boom in Unmanned Aerial Vehicle (UAV) funding and research opportunities. The expectation is built on the premise that UAVs will revolutionize aerospace, which is likely based on current trends. There is also an anticipation of an increasing number of new platforms and research investment, which is likely but must be analyzed carefully to determine where the opportunities might lie. This paper draws on the state of industry and a systems engineering approach. We explore what aspects of UAVs really are the results of aerospace science advances and what aspects will be rather more mundane works of engineering.

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Application of deep learning and unmanned aerial vehicle technology in traffic flow monitoring

2017 International Conference on Machine Learning and Cybernetics (ICMLC) ◽

10.1109/icmlc.2017.8107763 ◽

2017 ◽

Cited By ~ 9

Author(s):

Jian-Shu Zhang ◽

Jie Cao ◽

Bo Mao

Keyword(s):

Deep Learning ◽

Traffic Flow ◽

Unmanned Aerial Vehicle ◽

Flow Monitoring ◽

Aerial Vehicle ◽

Vehicle Technology

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State Feedback Controller - An Alternative Approach Applied to Unmanned Aerial Vehicle

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.704.270 ◽

2014 ◽

Vol 704 ◽

pp. 270-276

Author(s):

Renato A. Aguiar ◽

Fabrizio Leonardi

Keyword(s):

Control Systems ◽

Unmanned Aerial Vehicle ◽

State Feedback ◽

The State ◽

Feedback Controller ◽

Feedback Gain ◽

State Feedback Controller ◽

Alternative Approach ◽

Aerial Vehicle ◽

Alternative Methodology

The primary goal of this work is to propose an alternative methodology as a first approach in the design of control systems by means of a feedback state gain. The proposed method is detailed and an application is presented. The results show relevant aspects regarding the state feedback gain, especially in regard to variation in the parameters of the plant.

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Devising an image processing method for transport infrastructure monitoring systems

Eastern-European Journal of Enterprise Technologies ◽

10.15587/1729-4061.2021.239084 ◽

2021 ◽

Vol 4 (2(112)) ◽

pp. 18-25

Author(s):

Oleksandr Volkov ◽

Mykola Komar ◽

Dmytro Volosheniuk

Keyword(s):

Unmanned Aerial Vehicle ◽

The State ◽

Transport Infrastructure ◽

Dynamic Monitoring ◽

Contour Analysis ◽

Binary Images ◽

Infrastructure Monitoring ◽

Sorting Data ◽

Aerial Vehicle ◽

Image Contour

Identifying and categorizing contours in images is important in many areas of computer vision. Examples include such operational tasks solved by using unmanned aerial vehicles as dynamic monitoring of the condition of transport infrastructure, in particular road markings. This study has established that current methods of image contour analysis do not produce clear and reliable results when solving the task of monitoring the state of road markings. Therefore, it is a relevant scientific and applied task to improve the methods and models of filtration, processing of binary images, and qualitative and meaningful separation of the boundaries of objects of interest. To solve the task of highlighting road marking contours on images acquired from an unmanned aerial vehicle, a method has been devised that includes an operational tool for image preprocessing – a combined filter. The method has several advantages and eliminates the limitations of known methods in determining the boundaries of the location of the object of interest, by highlighting the contours of a cluster of points using histograms. The method and procedures reported here make it possible to successfully solve problems that are largely similar to those that an expert person can face when solving intelligent tasks of processing and filtering information. The proposed method was verified at an enterprise producing the Ukrainian unmanned aerial vehicle "Spectator" during tests of information technology of dynamic monitoring of the state of transport infrastructure. The results could be implemented in promising intelligent control systems in the field of modeling human conscious behavior when sorting data required for the perception of environmental features

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THE INFLUENCE OF DRONES ON THE DEVELOPMENT OF ARCHITECHTURAL PHOTOGRAPHY CULTURAL WORKS

Jurnal KATA ◽

10.22216/kata.v4i1.4596 ◽

2020 ◽

Vol 4 (1) ◽

pp. 1

Author(s):

Yandri Yandri ◽

Maulid Hariri Gani ◽

Putri Khairina Masta ◽

Eldiapma Syahdiza ◽

Fadlul Rahman

Keyword(s):

Unmanned Aerial Vehicle ◽

Qualitative Method ◽

Field Research ◽

Point Of View ◽

Aesthetic Value ◽

Library Research ◽

Aerial Vehicle ◽

Vehicle Technology ◽

The Aesthetic ◽

High Flexibility

<em>Culture of architectural photography is a branch of photography that exposes the aesthetic value of an architectural object of a building<strong>.</strong> The presence of drone technology in the culture of photography recently brings changes to the results of the photography itself and one of them is in the area of architectural photography. This study aims at verifying the influence of Unmanned Aerial Vehicle technology (Drone) on the artwork of architectural photography. The method used in this research was qualitative method with descriptive technique. Data were collected through library research and field research with observation and interview techniques. The culture using drones offer significant results in architectural photography artworks. The high flexibility of the drone gives results on a very detail architectural artwork. Using a drone also provides a very dazzling point of view that cannot be obtained by using only a DSLR camera. Furthermore by using drone, the artworks of photography are no longer limited by areas that cannot be reached. Therefore by using a drone, the photographer can make architectural photography works with unlimited perspective dimensions. There are some weaknesses of using this drone that the camera and lens are not adjustable and they also cannot be changed.</em>

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Partitioning complex tasks into subtasks in the process of planning goal-seeking behavior of an integral unmanned aerial vehicle in the state space

MORSKIE INTELLEKTUAL`NYE TEHNOLOGII ◽

10.37220/mit.2020.49.3.032 ◽

2020 ◽

Author(s):

В.Б. Мелехин ◽

М.В. Хачумов

Keyword(s):

Knowledge Representation ◽

State Space ◽

Unmanned Aerial Vehicle ◽

Vision System ◽

A Priori ◽

The State ◽

Operating Conditions ◽

Complex Tasks ◽

Seeking Behavior ◽

Aerial Vehicle

Обозначены основные проблемы, связанные с разработкой интеллектуального решателя задач автоматической системы управления целенаправленным поведением интегрального беспилотного летательного аппарата в наземной проблемной среде. Рассмотрена конструкция типовых элементов представления знаний безотносительно к конкретной предметной области, позволяющих автономному беспилотному летальному аппарату, оснащенному манипулятором и системой технического зрения, решать сложные задачи в априори неописанных проблемных средах. Разработаны инструментальные средства разбиения сложных задач на подзадачи, обеспечивающие эффективный поиск их решения в пространстве состояний на основе типовых элементов представления знаний. Сформулированы основные методические положения, позволяющие синтезировать процедуры планирования целенаправленного поведения интегрального беспилотного летательного аппарата в сложных априори неописанных условиях функционирования. The main problems associated with the development of an intelligent problem solver of an automatic control system for the goal-seeking behavior of an integral unmanned aerial vehicle in a terrestrial problem environment are identified. The design of the typical elements of knowledge representation irrelative to the specific subject area is considered, allowing an autonomous unmanned aerial vehicle equipped with a manipulator and a vision system to solve complex problems in a priori undescribed problem environments. Tools are developed for partitioning complex tasks into sub-tasks, which provide an effective search for their solutions in the state space based on typical elements of knowledge representation. The main methodological provisions are formulated that allow synthesizing the planning procedures for the goal-seeking behavior of an integral unmanned aerial vehicle in a priori undescribed complex operating conditions.

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