Development of software tools for testing the autonomous navigation system of UAVs

Abstract

In this paper the testing environment for the artificial intelligence system that operates the unmanned aerial vehicle (UAV) is considered. The approach given in this paper covers developing part of the computer software that will reflect the structure and functional behavior of the UAV. This software implements simulation modeling of processes that occur on different UAV’s subsystems. To implement this kind of software that will model UAV’s actions in real-world environment and time, the hybrid dynamic models will be used. These models will consist of probability component such as weather conditions, availability of cellular data or any other kind of connection, so they could be called stochastic. The main point of this research is to develop a visual, mathematical and analytical representation of the processes that take place in artificial intelligence system.