RESEARCH ON DESIGN OF A MODEL OF SELF-DRIVING VEHICLE RECOGNIZING TRAFFIC SIGNS

Hoàng Văn Thực

doi:10.34238/tnu-jst.11837

RESEARCH ON DESIGN OF A MODEL OF SELF-DRIVING VEHICLE RECOGNIZING TRAFFIC SIGNS

About this article

Received: 08/01/25 Revised: 28/03/25 Published: 03/04/25

Authors

Hoang Van Thuc , TNU - University of Information and Communication Technology

Abstract

In the era of Industry 4.0, the development of image processing technology, artificial intelligence and automation systems has opened a new era for the automotive industry, especially in the field of autonomous vehicles. Autonomous vehicles are not only a means of transportation, but also a symbol of technological progress, promising to bring many benefits such as reducing traffic accidents, saving energy and optimizing urban traffic. However, for autonomous vehicles to operate safely and effectively, they must be able to recognize and respond to surrounding environmental factors, in which traffic signs play a leading role. Based on this idea, the article presents research results on autonomous vehicle systems that apply image processing technology and artificial intelligence to improve the accuracy, recognition speed and response ability of autonomous vehicles. Experiments show that autonomous vehicles ensure the proposed quality criteria thanks to computer vision. Computer Vision has demonstrated outstanding performance in image recognition with the Cascade Adaboost algorithm in real time with a high accuracy rate. The results demonstrate the effectiveness of the research direction on automatic navigation of autonomous vehicles in different moving environments.

Keywords

Autonomous vehicles; Computer vision; Image processing; Navigation; Autonomous transportation; Mobile robots

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DOI: https://doi.org/10.34238/tnu-jst.11837

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