Augmented reality in an intelligent vehicle control system
- Authors: Kruglova L.V.1, Ceesay F.K.1
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Affiliations:
- Peoples’ Friendship University of Russia (RUDN University)
- Issue: Vol 23, No 2 (2022)
- Pages: 155-164
- Section: Articles
- URL: https://journals.rudn.ru/engineering-researches/article/view/31721
- DOI: https://doi.org/10.22363/2312-8143-2022-23-2-155-164
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Abstract
The use of augmented reality in intelligent vehicle control systems is an important and urgent task for the production and operation of vehicles. Along with the development of sensors, it is necessary to create algorithms and software for such systems. The paper describes a program that simulates the formation of an augmented reality image on a projection display located on the windshield of a car. Augmented reality content modeling is proposed to be carried out by combining the image seen through the windshield and the data coming from the sensors of the intelligent car control system. The functioning of an intelligent vehicle control system is based on the principle of Sensor Fusion, according to which the input data from several discrete sensors are combined to obtain a virtual environment model. The main advantage of the developed program is the possibility of adaptive adjustment of image parameters depending on environmental conditions. The program also implements the function of switching information channels to display data from various devices. The use of augmented reality technologies in intelligent vehicle control systems contributes not only to the convenience of car operation, but also improves the comfort of travel conditions, increases the level of driving safety.
About the authors
Larisa V. Kruglova
Peoples’ Friendship University of Russia (RUDN University)
Email: kruglova-lv@rudn.ru
ORCID iD: 0000-0002-8824-1241
Candidate of Technical Sciences, Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering
6 Miklukho-Maklaya St, Moscow, 117198, Russian FederationFafa K. Ceesay
Peoples’ Friendship University of Russia (RUDN University)
Author for correspondence.
Email: 1032199266@rudn.ru
ORCID iD: 0000-0001-6762-9231
master student, Department of Mechanics and Control Processes, Academy of Engineering
6 Miklukho-Maklaya St, Moscow, 117198, Russian FederationReferences
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