Situations in Construction of 3D Mapping for Slam

Abstract

Nowadays, the simultaneous localization and mapping (SLAM) approach has become one of the most advanced engineering methods used for mobile robots to build maps in unknown or inaccessible spaces. Update maps before a certain area while tracking current location and distance. The motivation behind writing this paper is mainly to help us better understand about SLAM and the study situation of SLAM in the world today. Through this, we find the optimal algorithm for moving robots in three dimensions.

The method of building 3D map by the reconfigurable computing environment for unmanned aerial vehicles, drones

“…The process of controlling a robot is considered as the operation of a finite automaton with a set of robot input states as well as a set of its actions. These automatons will be built on top of logical operations AND, OR, NOT [1,2] and can change their structure depending on the signals being built. The operating process of the system is shown in the overall structural model of Figure 1.…”

“…The space where the robot flies will be subdivided according to the rules of the mapping algorithm for the robot in 3D space. Specifically, the robot circumscribed cube will be considered as the unit size of a block in the space in which the robot flies, which will consist of blocks equal in size to these units [2]. Therefore, the RCE environment built for the robot will be an environment consisting of identical cells, each of which will be the same size as the robot's circumscribed block.…”

Modelling of a Reconfigurable Environment for Navigation of Unmanned Aerial Vehicle

“…Картирование окружающей среды включает создание математической модели пространственной информации реальной окружающей среды. SLAM расширяет требования этой математической модели, показывая то же состояние робота и положение извлеченных ориентиров относительно его положения [3,4].…”

“…Существует множество способов управления мобильными роботами, а также беспилотным летательным аппаратом, но SLAM -один из самых интересных. SLAM занимается отображением неизвестной среды с помощью мобильного робота во время навигации по среде с использованием картирования [3,4]. В последнее время было проведено множество исследований для определения вычислительной эффективности SLAM и объединения данных, а также и для определения всего необходимого для мощного метода SLAM.…”