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A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning

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Published in:Discover Artificial Intelligence (Springer)
Format: Online Article RSS Article
Published: 2026
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container_title Discover Artificial Intelligence (Springer)
description
discipline_display Access Artificial Intelligence and Machine Learning
discipline_facet Access Artificial Intelligence and Machine Learning
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institution FRELIP
journal_source_facet Discover Artificial Intelligence (Springer)
last_indexed 2026-06-20T21:44:11.953Z
publishDate 2026
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spellingShingle A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
sub_discipline_display General
sub_discipline_facet General
subject_display Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
subject_facet Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
title A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
title_alt Un sistema de visión inteligente para la detección temprana de somnolencia del conductor utilizando un modelo híbrido CNN-transformer con aprendizaje basado en atención
Un système de vision intelligent pour la détection précoce de la somnolence du conducteur utilisant un modèle hybride CNN-transformer avec apprentissage basé sur l'attention
Um sistema de visão inteligente para detecção precoce de sonolência do motorista usando modelo híbrido CNN–transformer com aprendizado baseado em atenção
title_auth A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
title_es_txt Un sistema de visión inteligente para la detección temprana de somnolencia del conductor utilizando un modelo híbrido CNN-transformer con aprendizaje basado en atención
title_fr_txt Un système de vision intelligent pour la détection précoce de la somnolence du conducteur utilisant un modèle hybride CNN-transformer avec apprentissage basé sur l'attention
title_full A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
title_fullStr A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
title_full_unstemmed A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
title_pt_txt Um sistema de visão inteligente para detecção precoce de sonolência do motorista usando modelo híbrido CNN–transformer com aprendizado baseado em atenção
title_short A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning
title_sort a smart vision system for early driver drowsiness detection using cnn–transformer hybrid model with attention-based learning
topic Access Artificial Intelligence and Machine Learning
General
Access Artificial Intelligence and Machine Learning
url https://link.springer.com/article/10.1007/s44163-026-01575-8