AI-Based Approaches for Drunk Driving Detection for Traffic Safety: In-Vehicle and Out-Vehicle Techniques, Challenges, and Future Directions

Drunk driving remains a critical public safety concern, causing a significant number of traffic accidents and fatalities worldwide. Traditional methods of detecting impaired driving, such as breathalyzers and sobriety tests, are often reactive and fail to prevent accidents before they occur. This pa...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Razan Alsulieman, Richard Preston Swiley Jr, Ahmed Sherif, Mohamed Elsersy, Mohammad Mahbubur Rahman Khan Mamun, Ahmad Abdel-Aliem Imam, Rabab Abdelfattah, Kasem Khalil
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Open Journal of the Computer Society
Fag:	AI-based detection drunk driving detection traffic safety
Online adgang:	https://ieeexplore.ieee.org/document/11523044/
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!