دورية أكاديمية

Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review

التفاصيل البيبلوغرافية
العنوان: Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review
المؤلفون: Shichen Fu, Zhenhua Yang, Yuan Ma, Zhenfeng Li, Le Xu, Huixing Zhou
المصدر: Applied Sciences, Vol 14, Iss 7, p 3016 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: fatigue driving, distracted driving, machine vision, multimodal detection, safety warning and response, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Detecting the factors affecting drivers’ safe driving and taking early warning measures can effectively reduce the probability of automobile safety accidents and improve vehicle driving safety. Considering the two factors of driver fatigue and distraction state, their influences on driver behavior are elaborated from both experimental data and an accident library analysis. Starting from three modes and six types, intelligent detection methods for driver fatigue and distraction detection from the past five years are reviewed in detail. Considering its wide range of applications, the research on machine vision detection based on facial features in the past five years is analyzed, and the methods are carefully classified and compared according to their innovation points. Further, three safety warning and response schemes are proposed in light of the development of autonomous driving and intelligent cockpit technology. Finally, the paper summarizes the current state of research in the field, presents five conclusions, and discusses future trends.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
العلاقة: https://www.mdpi.com/2076-3417/14/7/3016Test; https://doaj.org/toc/2076-3417Test
DOI: 10.3390/app14073016
الوصول الحر: https://doaj.org/article/c0fbf9f5b04c41209182c19c20ec981fTest
رقم الانضمام: edsdoj.0fbf9f5b04c41209182c19c20ec981f
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app14073016