INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK
The subject of the study is the methods and tools for automation of recognition of road signs at the level of software implementation. Detection of road signs is associated with the processing of a significant amount of video data in real time, which requires significant computing power. Therefore,...
Saved in:
Main Authors: | Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky |
---|---|
Format: | Article |
Language: | English |
Published: |
Kharkiv National University of Radio Electronics
2019-06-01
|
Series: | Сучасний стан наукових досліджень та технологій в промисловості |
Subjects: | |
Online Access: | https://itssi-journal.com/index.php/ittsi/article/view/138 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis and training of a traffic sign recognition neural network model
by: A. U. Mentsiev, et al.
Published: (2023-10-01) -
Recommender System for Apparel Products Based on Image Recognition Using Convolutional Neural Networks
by: Chin-Chih Chang, et al.
Published: (2025-03-01) -
Deep Learning-Based Sign Language Recognition Using Efficient Multi-Feature Attention Mechanism
by: Esma Yenisari, et al.
Published: (2025-01-01) -
Weighted Ensemble Based on Prisoner Dilemma for Facial Expression Recognition
by: Muhammad Hannan Hunafa, et al.
Published: (2025-01-01) -
Application of Deep Neural Networks in Recognition of Selected Types of Objects in Digital Images
by: Artur Babiarz, et al.
Published: (2025-07-01)