UAV

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.

Purpose. Lviv landfill has some features that should be considered when developing the methodology for determining the volume. The initial relief of severe fragmentation and a height difference of more than 70 meters make it is impossible to set the original horizontal plane for determining the volume. The slope of current garbage body surface ranges from 0 to 85 degrees and a vertical drop is more than 80 m. This leads to significant relief errors in carry out for aerialphotography.

The Purpose. The problem of applying unmanned aerial vehicles for real estate estimations has become important with the development of modern methods of distance sensing of residential areas. For several decades aerial photography has been an effective tool for performing geodetic survey, geophysical studies, and various types of monitoring. Modern technology used in creating topographic and cadastral plans is based on using digital data of aerial photography [Burshtynska H., Stankewych S., 2013].