UAV

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.

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).

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.

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.

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.

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.

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.

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.

The article is devoted to solution of the optimal design tasks of Unmanned Aerial Vehicles at different stages. The tasks for all UAV’s design stages are considered and CAx tools for optimal design are proposed based on empirical experience.

As an important way to obtain the high-resolution remote sensing images, the unmanned aerial vehicle (UAV) aviation remote sensing plays a more and more important role in the area of photogrammetry and remote sensing application. The correction of the UAV remote sensing images without the ground control points needs high-resolution attitude data. The original attitude data can be obtained from the UAV airborne GPS/INS.