Vladyslav, Nikitin and Svitlana, Maksymova and Vladyslav, Yevsieiev (2023) TRAFFIC SIGNS RECOGNITION SYSTEM DEVELOPMENT. Multidisciplinary Journal of Science and Technology; Vol. 3 No. 3 (2023): Multidisciplinary Journal of Science and Technology; 235-242.
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Abstract
In this article, the authors consider the feasibility of developing systems for recognizing road signs, as well as road markings, registration and recognition of obstacles, and other traffic objects. The authors consider the possibility of using artificial neural networks to solve this problem. In particular, they propose using a multilayer perceptron to achieve sufficient recognition accuracy. In the future, it is planned to develop software for the implementation of the developed road sign recognition system.
| Item Type: | Article |
|---|---|
| Additional Information: | Imported from Multidisciplinary Journal of Science and Technology |
| SWORD Depositor: | Admin User |
| Depositing User: | Admin User |
| Date Deposited: | 26 Oct 2026 21:10 |
| Last Modified: | 26 Oct 2026 21:10 |
| URI: | https://universalpublishings.uz/id/eprint/22084 |
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