No abstract

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

An algorithm for determining the distance to the sound source based on amplitude and frequency characteristics was developed. The algorithm is implemented in the Matlab software environment.

UAV operators training programs vary depending on the category of the UAV, mission types, requirements to the certification and available platform. The essential part of the UAV operator training is the use of the simulations to facilitate mastering of the piloting skills and operation of the vehicle equipment. Due to the complexity of the simulations, it is desirable to use respective hardware and software complex for a range of training programs. Common topics have been identified based on the analysis of typical training programs, UAV missions and operator functions. The paper outlines the structure of the simulation complex and the framework of the program including simulation-based training and theoretical part which could be supported in a blended mode.

No abstract