Work

Traffic sign recognition for complex traffic condition based on YOLOv5

Year: 2025

Type: conference-paper

Source: International Conference on Optoelectronic Information and Computer Engineering (OICE)

DOI: 10.1117/12.3088046

Authors: yingxuan liu, liyang geng, ruirui yu, xuejun tian, yonghui xie

Institution: Weifang Vocational College

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

OpenAlex ID: W4414321440

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