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
- 2026-07-17
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- 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 = {Siham Essahraui and Chaymae Rami and Khalid El Makkaoui and Ibrahim Ouahbi},
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 - Siham Essahraui AU - Chaymae Rami AU - Khalid El Makkaoui AU - Ibrahim Ouahbi PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-62654-5 UR - https://doi.org/10.1038/s41598-026-62654-5 ER -
APA
Essahraui, S., Rami, C., Makkaoui, K. E., & Ouahbi, I. (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
- crossref · retrieved 2026-11-10T05:28:58.161Z