UAV

Application of Unmanned Aerial Vehicles in Construction Industry

Technological advances in the field of electronics, such as miniature electromechanical devices and small powerful electric motors, have made it possible to develop small and light devices, such as unmanned aerial vehicles (UAVs). Recently, civilian UAVs are rapidly gaining popularity. Undoubtedly, UAVs will be used for many services in the future. There is already a growing demand for such fields of application of unmanned aerial vehicles as agriculture, emergency services, energy, fuel, mining, construction, geodesy (cartography), transportation, etc.

The modern state of approaches to monitoring the technical condition of wind turbine blades us-ing information technologies

Nowadays wind energy is one of the most important and promising sources of environmentally clean renewable energy. Wind turbine blades are among the most expensive components. Depending on the size, their manufacturing costs range between 10 % and 20 % of total manufacturing costs. Moreover, the size of blades has increased in recent years, leading to greater efficiency and energy production, but presenting higher failure probability.

Modelling local geoid undulations using unmanned aerial vehicles (UAVS): a case study of the Federal University of Technology, Akure, Nigeria

The study was aimed at developing a geoid model using Unmanned Aerial Vehicle (UAV) technology. To accomplish this, a UAV was deployed to capture imagery of the study area from a height of 150m, with a ground resolution of 4.19cm. A total of 3737 images were obtained, covering an area of 725.804 hectares. The existing ellipsoidal and orthometric heights were used to georeferenced the acquired images. For the analysis, 35 points were utilized, with 20 points designated as ground control points (GCPs) and the remaining 15 points as check points (CPs).

Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds

Mobile robots control systems achieve greater efficiency through the use of robust environmental analysis algorithms based on data collected from optical sensors such as depth cameras, Light Detection and Ranging sensors (LIDARs). These data sources provide information about control object environment in point cloud. The work of such algorithms, as a rule, is aimed at detecting the objects of interest and searching for the specified objects, as well as relocating its own position on the scene.

Use using UAVS for the organization of forestry lands

The aims of our paper are to study the territory organization of the forest fund lands of the Skhidnytsya village council (Lviv region), performing their forest management with the development of a system of activities aimed at ensuring scientifically based multifunctional forestry management, protection and rational sustainable use. The possibility of performing cadastral works for the territorial organization of forestry lands using unmanned aerial vehicles (UAVs) is important for science and practice.

Using images obtained from UAVs to construct a DEM of riverbed territories with complex hydromorphological characteristics

The aim of the work is to investigate the accuracy of the DEM of nearshore areas using UAV material. One of the important issues in hydrological flood modelling is the high accuracy of the DEM. In the case of a complex relief type, which is associated with meandering riverbeds, it is proposed to use UAV surveys to create a DEM.

MODELING A NETWORK OF UNMANNED AERIAL VEHICLES

The research concerns the methods of UAV group control in networks with duplex communication between nodes built on the "client-server" architecture. Such systems belong to self-organized networks with variable topology. It is important to study the allowable parameters of deviation from the task in the management of a group of UAVs and analysis of the network topology for the group flighting. The network was optimized according to the Ant Colony algorithm ACO.

ANALYSIS OF UNMANNED AERIAL VEHICLES CONTROL METHODS

In addition to operational, legal and commercial solutions, the development of UAV (unmanned aerial vehicle) production technologies requires the standardization of control methods for both ground-based systems of aircrafts and platforms. Internet giants such as Google and Facebook continue to support the development of drone start-ups for various fields of use, from the delivery of goods (from mail to pizza) to the creation of flying platforms to provide the Internet in regions where it is impossible to locate ground or surface stations.

Error estimation of DEM of orthotransformation of aerial images obtained from UAV on the mountainous local site in the village Shidnytsya

The aim of the work is to estimate the error of the ortho rectification of aerial images obtained by unmanned aerial vehicle for a mountain site in the village Shidnytsya with the help of additional grid of points obtained by GNSS-survey. The task is to analyse the difference between the heights of the points obtained using two methods: using the map of heights from the UAV survey and using data of GNSS-survey and then to estimate the difference between the real coordinates of the ground control points with their coordinates on the orthophoto plan. The method.