Deep fusion convolutional neural network for accurate and carbon efficient traffic sign recognition

Abstract Objective In intelligent transportation systems, accurate and efficient traffic sign recognition is essential for enhancing road safety and traffic management. This study proposes DF-CNN, a lightweight Deep Fusion Convolutional Neural Network designed to achieve high classification accuracy...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Manish Rai, Abhishek Kesarwani, Mohit Gangwar
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2026-06-01
Schriftenreihe:	Discover Computing
Schlagworte:	DF-CNN Traffic sign recognition Carbon-efficient deep learning Green AI Sustainable artificial intelligence
Online-Zugang:	https://doi.org/10.1007/s10791-026-10246-2
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