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Toward Efficient Traffic-Sign Detection via SlimNeck and Coordinate-Attention Fusion in YOLO-SMM

Year: 2025

Type: article

Abstract: Accurate and real-time traffic-sign detection is a cornerstone of Advanced Driver-Assistance Systems (ADAS) and autonomous vehicles. However, existing one-stage detectors miss distant signs, and two-stage pipelines are imprac... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.067286

Authors: Hui Chen, Mohammed A. H. Ali, Bushroa Abd Razak, Zhenya Wang, Yusoff Nukman, Shikai Zhang, Zhiwei Huang, Ligang Yao, Mohammad Alkhedher

Institutions: Abu Dhabi University, University of Malaya, Fuzhou University, Tsinghua University

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: diamond

OpenAlex ID: W7104540749

FWCI: 0.73

Cites:

Cited by: 2

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