Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence.
- DOI
- 10.3390/s24123754
- Published
- 2024 Jun 9
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s24123754,
title = {Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence.},
author = {Siddiqui HUR and Akmal A and Iqbal M and Saleem AA and Raza MA and Zafar K and Zaib A and Dudley S and Arambarri J and Castilla ÁK and Rustam F},
year = {2024},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s24123754},
url = {https://doi.org/10.3390/s24123754}
}RIS
TY - JOUR TI - Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence. AU - Siddiqui HUR AU - Akmal A AU - Iqbal M AU - Saleem AA AU - Raza MA AU - Zafar K AU - Zaib A AU - Dudley S AU - Arambarri J AU - Castilla ÁK AU - Rustam F PY - 2024 JO - Sensors (Basel, Switzerland) DO - 10.3390/s24123754 UR - https://doi.org/10.3390/s24123754 ER -
APA
HUR, S., A, A., M, I., AA, S., MA, R., K, Z., A, Z., S, D., J, A., ÁK, C., & F, R. (2024). Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24123754
Source records
- pubmed · retrieved 2026-09-26T18:13:32.934Z