Traffic Sign Detection Using GEN-AI
Year: 2025
Type: article
Abstract: Traffic sign detection and recognition are crucial for intelligent transportation systems (ITS) and autonomous vehicles. Traditional methods face challenges with distorted or unclear images, impacting detection accuracy. This research proposes a real-time traffic sign detection system using YOLOv4 integrated with Generative AI (GenAI) to correct distorted images and enhance contextual data readability. By leveraging GenAI, the model achieves improved detection accuracy and robustness, particularly under adverse conditions. Experimental results demonstrate an accuracy of 89.33%, showcasing the system’s efficiency and real-time performance.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4409565614