Comparative analysis of existing road sign recognition systems in vehicles

- Mukovoz, V. (orcid.org/0009-0001-4196-7854), Vakaliuk, Tetiana (orcid.org/0000-0001-6825-4697) and Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272) (2024) Comparative analysis of existing road sign recognition systems in vehicles In: Conference proceedings of the VII International Scientific-Practical Conference “Information Technology for Education, Science and Technics” (ITEST-2024), (Cherkasy, May 23-24, 2024) . ЧДТУ, м. Черкаси, Україна, pp. 55-57.

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Abstract

Road sign recognition systems have become an essential safety feature in modern vehicles, aiding drivers in identifying and complying with traffic rules. This paper compares several prominent road sign recognition systems employed by major automotive manufacturers, including Opel Eye, Mercedes-Benz Speed Limit Assist, Volvo Road Sign Information, and Volkswagen Sign Assist. The analysis evaluates the declared and actual recognition accuracies, illumination requirements, and the ability to recognise different types of road signs. The findings reveal that while these systems claim high recognition rates, their performance can be compromised by sign condition, illumination, and occlusion factors.

Item Type:	Book Section
Keywords:	road sign recognition, advanced driver assistance systems, computer vision
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Divisions:	Institute for Digitalisation of Education > Department of Technologies of Open Learning Environment
Depositing User:	Сергій Олексійович Семеріков
Date Deposited:	21 Jul 2024 11:12
Last Modified:	21 Jul 2024 11:12
URI:	https://lib.iitta.gov.ua/id/eprint/741790

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