Towards detection of bus driver fatigue based on robust visual analysis of eye state

B Mandal, L Li, GS Wang, J Lin - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Driver's fatigue is one of the major causes of traffic accidents, particularly for drivers of large
vehicles (such as buses and heavy trucks) due to prolonged driving periods and boredom in …

Evolution of driver fatigue detection techniques—A review from 2007 to 2021

MK Kamti, R Iqbal - Transportation research record, 2022 - journals.sagepub.com
Driver fatigue is the most important factor in the increase in the frequency of traffic accidents
and fatalities every year. Fatigue impairs driving performance through a lack of …

Research issues in smart vehicles and elderly drivers: a literature review

I Rhiu, S Kwon, S Bahn, MH Yun… - International Journal of …, 2015 - Taylor & Francis
This article reviewed both studies on general smart car technologies and human–computer
interaction (HCI)/human–vehicle interaction studies that were published in journals and …

[图书][B] Object detection and recognition in digital images: theory and practice

B Cyganek - 2013 - books.google.com
Object detection, tracking and recognition in images are key problems in computer vision.
This book provides the reader with a balanced treatment between the theory and practice of …

Hybrid computer vision system for drivers' eye recognition and fatigue monitoring

B Cyganek, S Gruszczyński - Neurocomputing, 2014 - Elsevier
This paper presents a hybrid visual system for monitoring driver's states of fatigue,
sleepiness and inattention based on driver's eye recognition. Safe operation in car …

Deep learning systems for estimating visual attention in robot-assisted therapy of children with autism and intellectual disability

A Di Nuovo, D Conti, G Trubia, S Buono, S Di Nuovo - Robotics, 2018 - mdpi.com
Recent studies suggest that some children with autism prefer robots as tutors for improving
their social interaction and communication abilities which are impaired due to their disorder …

Driver fatigue recognition based on facial expression analysis using local binary patterns

Y Zhang, C Hua - Optik, 2015 - Elsevier
Driver fatigue is a major cause of traffic accidents. Automatic vision-based driver fatigue
recognition is one of the most prospective commercial applications based on facial …

Real time detection of driver fatigue based on CNN‐LSTM

MZ Liu, X Xu, J Hu, QN Jiang - IET Image Processing, 2022 - Wiley Online Library
Fatigue driving is one of the main causes of traffic accidents. In order to solve this problem, a
new Convolutional Neural Network and Long Short‐Term Memory (CNN‐LSTM) based real …

Computer vision for driver assistance

M Rezaei, R Klette - Cham: Springer International Publishing, 2017 - Springer
Currently, the automotive industry is experiencing three substantial changes of a
revolutionary character, the replacement of internal combustion engines by electric motors …

Designing fatigue warning systems: the perspective of professional drivers

F Meng, S Li, L Cao, Q Peng, M Li, C Wang… - Applied Ergonomics, 2016 - Elsevier
Professional drivers have been characterized as experiencing heavy fatigue resulting from
long driving time in their daily work. This study aimed to explore the potential demand of …