Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems

Accurate vehicle detection is essential for autonomous driving, traffic monitoring, and intelligent transportation systems. This paper presents an enhanced YOLOv8n model that incorporates the Ghost Module, Convolutional Block... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Journal on artificial intelligence
Published
2025-01-01
DOI
https://doi.org/10.32604/jai.2025.069008
Citations
1
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
1.14
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article

Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems

Syed Sajid Ullah, Ishfaq Ahmad, Salman Khan, M. Zamir
1 citations
Journal on artificial intelligence
Advanced Image Fusion Techniques
1.14
article

Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems

Syed Sajid Ullah, Ishfaq Ahmad, Salman Khan, M. Zamir
article en
1 citations

Abstract

Accurate vehicle detection is essential for autonomous driving, traffic monitoring, and intelligent transportation systems. This paper presents an enhanced YOLOv8n model that incorporates the Ghost Module, Convolutional Block... | Find, read and cite all the research you need on Tech Science Press

Journal on artificial intelligenceVol. 7(1)
Openalex Percentile: Top 16%
Advanced Image Fusion Techniques
1.14
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Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems — Syed Sajid Ullah, Ishfaq Ahmad, et al. · Journal on artificial intelligence (2025) | TGRS Research Map | TGRS