In this paper, an analysis of the problems and tasks arising from the design of situational awareness tools has been carried out. As a result, it has been established that the approaches in this area do not satisfy the requirements for modern intelligent tools for operational decision support for the reasons for the lack of methods and tools reflecting the dynamics of information processes and a distributed information processing architecture with weakly structured properties. The methods of operating and extracting knowledge from semistructured dynamic information are proposed.

Keywords: Situational awareness, poorly structured data, temporal information, dynamic structures, intellectual analysis

The purpose of the study is a promising, rapidly developing and demanded area of SLAM (simultaneous localiza-tion and mapping). The simultaneous location and construction of a map is a practical problem of autonomous robotics. The basic principle is to place the mobile robot in an unknown environment where it was able to gradual-ly build a consistent map of this terrain while simultaneously determining its location within the map. To date, the work is aimed at improving the efficiency of computing and solving problems in data integration. In the process of constructing a map of the environment by the mobile robot and simultaneously using it, in order to determine its location, online, the path of the platform and the location of all landmarks are simultaneously evaluated without the need for a priori knowledge of their location.

Keywords: localization and mapping, probabilistic breech-cha, extended Kalman filter, particle filter, mobile robot, re-cursive method, Gaussian