Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems

Abstract Most accidents are a result of distractions while driving and road user’s safety is a global concern. The proposed approach integrates advanced deep learning for driver distraction detection with real-time road object recognition to jointly address this problem. The behaviour of a driver is...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Rakesh Salakapuri, Naveen Kumar Navuri, Thrimurthulu Vobbilineni, G. Ravi, Karthik Karmakonda, K. Asish vardhan
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-07-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Driver distraction detection Road object recognition Convolutional Neural Networks (CNNs) YOLO (You Only Look Once) Advanced Driver Assistance Systems (ADAS) Deep learning
Online-Zugang:	https://doi.org/10.1038/s41598-025-08475-4
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