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Synthetic distracted driving (SynDD1) dataset for analyzing distracted behaviors and various gaze zones of a driver
This article presents a synthetic distracted driving (SynDD1) dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones. We collected the data in a stationary vehicle using three in-vehicle cameras positioned at locations: on the das...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730022/ https://www.ncbi.nlm.nih.gov/pubmed/36506800 http://dx.doi.org/10.1016/j.dib.2022.108793 |