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| dc.contributor.author | Mukovoz, V. | |
| dc.contributor.author | Vakaliuk, T. | |
| dc.contributor.author | Семеріков, Сергій Олексійович | |
| dc.contributor.author | Вакалюк, Тетяна Анатоліївна | |
| dc.date.accessioned | 2024-07-11T17:29:57Z | |
| dc.date.available | 2024-07-11T17:29:57Z | |
| dc.date.issued | 2024-05-24 | |
| dc.identifier.citation | Mukovoz V. Comparative analysis of existing road sign recognition systems in vehicles / V. Mukovoz, T. Vakaliuk, S. Semerikov // Conference proceedings of the VII International Scientific-Practical Conference “Information Technology for Education, Science and Technics” (ITEST-2024), (Cherkasy, May 23-24, 2024). – Cherkasy : ChSTU, 2024. – P. 55-57. | uk |
| dc.identifier.uri | https://itest.chdtu.edu.ua/Conference-Proceedings-ITEST-2024_25_06.pdf | |
| dc.identifier.uri | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10384 | |
| dc.description | 1. Opel Eye. Retrieved. URL: https://preview.thenewsmarket.com/Previews/NCAP/DocumentAssets/ 188042.pdf. 2. The driver assistance systems in the EQC point the way to autonomous driving. Retrieved. URL: https://www.la.mercedes-benz.com/en/passengercars/mercedes-benz-cars/models/eqc/safety/assistance- systems.module.html. 3. Road sign information. Retrieved. URL: https://www.bosch-mobility.com/en/solutions/assistance- systems/road-sign-information/. 4. Traffic Sign Recognition. Retrieved. URL: https://www.volkswagen.co.uk/en/technology/driver- assist/sign-assist.html. | uk |
| dc.description.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. | uk |
| dc.language.iso | en | uk |
| dc.publisher | ЧДТУ | uk |
| dc.subject | road sign recognition | uk |
| dc.subject | advanced driver assistance systems | uk |
| dc.subject | computer vision | uk |
| dc.title | Comparative analysis of existing road sign recognition systems in vehicles | uk |
| dc.type | Article | uk |
