A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference.
- DOI
- 10.1038/s41598-026-62654-5
- Published
- 2026 Jul 17
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62654-5,
title = {A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference.},
author = {Essahraui S and Rami C and El Makkaoui K and Ouahbi I},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-62654-5},
url = {https://doi.org/10.1038/s41598-026-62654-5}
}RIS
TY - JOUR TI - A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference. AU - Essahraui S AU - Rami C AU - El Makkaoui K AU - Ouahbi I PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-62654-5 UR - https://doi.org/10.1038/s41598-026-62654-5 ER -
APA
S, E., C, R., K, E. M., & I, O. (2026). A lightweight deep learning model for real-time in-vehicle driver distraction detection with low-latency inference.. Scientific reports. https://doi.org/10.1038/s41598-026-62654-5
Source records
- pubmed · retrieved 2026-09-25T23:12:46.326Z