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
This article is dedicated to the research of existing methods of analysis and detection of persons in natural conditions. Face recognition based on image analysis is one of the main problems in the implementation of computer vision. The systems of reference measurements allow to define and develop various methods of face detection. Practical experiments were conducted and the algorithms for recognizing faces presented by scientific schools and commercial developments were considered, and also the results of evaluations on all test sets were analyzed based on the data of graphs of truly positive values for assessing the quality and speed of using MALF. Using a detailed assessment, the effectiveness of algorithms in various aspects with respect to several attributes was analyzed. Comparing performance with varying degrees of accuracy, the advantages and disadvantages of algorithms are determined when used in various work scenarios.
Keywords: computer vision, face detection, face detection, face recognition, image analysis algorithms, detection methods, reference measurements