Computer vision applications in intelligent transportation systems: a survey

E Dilek, M Dener - Sensors, 2023‏ - mdpi.com
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

IoT-based non-intrusive automated driver drowsiness monitoring framework for logistics and public transport applications to enhance road safety

MA Khan, T Nawaz, US Khan, A Hamza… - Ieee …, 2023‏ - ieeexplore.ieee.org
The exponential growth in road accidents has led to a need for continuous driver monitoring
to enhance road safety. Existing techniques rely on vehicle sensor-based and behavior …

Driver's real-time drowsiness detection using adaptable eye aspect ratio and smart alarm system

J Chandiwala, S Agarwal - 2021 7th International Conference …, 2021‏ - ieeexplore.ieee.org
According to National Highway Traffic Safety Administration (NHTSA), drowsy driving leads
to over 71,000 injuries, 1,500 deaths, and $12.5 billion in monetary losses per year. The …

Face fatigue feature detection based on improved DS model in complex scenes

J Cai, X Liao, J Bai, Z Luo, L Li, J Bai - IEEE Access, 2023‏ - ieeexplore.ieee.org
Fatigued driving is one of the main causes of road traffic accidents. In the process of fatigued
driving detection, the evaluation based on a single sign is biased. To improve the …

An Automated Efficient and Robust Scheme in Payment Protocol Using the Internet of Things

VP Parandhaman - 2023 Eighth International Conference on …, 2023‏ - ieeexplore.ieee.org
One of the leading causes of car accidents nowadays is dozing off behind the wheel. The
National Highway Traffic Safety Administration estimates that around one hundred thousand …

A novel drowsiness detection model using composite features of head, eye, and facial expression

NN Pandey, NB Muppalaneni - Neural Computing and Applications, 2022‏ - Springer
Drowsiness is the principal cause of road crashes nowadays, as per the existing data.
Drowsiness may put many precious lives in jeopardy. Drowsiness may be detected early …

Review paper on yawning detection prediction system for driver drowsiness

NK Gupta, AK Bari, S Kumar, D Garg… - 2021 5th International …, 2021‏ - ieeexplore.ieee.org
Drowsiness can be dangerous when performing tasks that require constant attention, such
as driving a vehicle. Sleepiness is correlated with a variety of physiological variables, such …

Learning state assessment in online education based on multiple facial features detection

D Li, Z Cui, F Cao, G Cui, J Shen… - Computational …, 2022‏ - Wiley Online Library
Considering that most of online training is not effectively supervised, this article presents an
online leaning state assessment approach which combines blink detection, yawn detection …

A Driving Risk Assessment Framework Considering Driver's Fatigue State and Distraction Behavior

J Chen, Q Zhang, J Chen, J Wang… - IEEE Transactions …, 2024‏ - ieeexplore.ieee.org
Fatigue and distraction are the most common long-term poor state and short-term abnormal
behavior of drivers, significantly increasing the driving risk of vehicles equipped with the …

Research on Driver's Fatigue Detection Based on Information Fusion.

M Zhang, B Zhao, J Li, Q Wang, D Liu… - … Materials & Continua, 2024‏ - search.ebscohost.com
Driving fatigue is a physiological phenomenon that often occurs during driving. After the
driver enters a fatigued state, the attentionis lax, the response is slow, and the ability todeal …