Work

Improved YOLOv9 for Real-Time Traffic Sign Detection in Intelligent Transportation Systems

Year: 2025

Type: conference-paper

Source: International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA)

DOI: 10.1109/ichora65333.2025.11017144

Authors: Behiye Sahin, Ipek Neslihan Alpugan

Institutions: Tarsus University, Ankara University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411204880

FWCI: 1.713

Cites:

Cited by: 2

Related to: 10