Please use this identifier to cite or link to this item: http://lib.kart.edu.ua/handle/123456789/21129
Title: Situation Representation Model Implemented by Granule Fuzzy Characteristics in Mobile Autonomous System
Authors: Kargin, Anatolii
Luchentsov, Yevhen
Keywords: mobile autonomous systems
global situation model
quantitative and determinative abstraction
granule fuzzy characteristics
Issue Date: 2020
Publisher: Харківський національний університет радіоелектроніки
Citation: Kargin А. Situation Representation Model Implemented by Granule Fuzzy Characteristics in Mobile Autonomous System / A. Kargin, Y. Luchentsov // Computer and Information Systems and Technologies: proceedings of Fourth International Scientific and Technical Conference (April 22-23, 2020). – Kharkiv: NURE, 2020. – P. 50-51.
Abstract: Creation of the mobile autonomous control system has specifics. The decision-making and assessment of the large scale situation are based on the global situation model presented in the form of a multilevel structure at different abstraction levels. Three types of abstraction are considered: quantitative, deterministic, and generalized abstraction. The report examines the algorithm for processing data from sensors at the first two levels. Algorithm is programmed in Python and implemented on ESP 8266 microcontroller.
URI: http://lib.kart.edu.ua/handle/123456789/21129
ISBN: 978-617-7645-96-1
Appears in Collections:2020

Files in This Item:
File Description SizeFormat 
Kargin.pdf528.38 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.