An end-to-end compression framework based on convolutional neural networks
Deep learning, eg, convolutional neural networks (CNNs), has achieved great success in
image processing and computer vision especially in high-level vision applications, such as …
image processing and computer vision especially in high-level vision applications, such as …
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 …
and fatalities every year. Fatigue impairs driving performance through a lack of …
Driver's fatigue detection based on yawning extraction
The increasing number of traffic accidents is principally caused by fatigue. In fact, the fatigue
presents a real danger on road since it reduces driver capacity to react and analyze …
presents a real danger on road since it reduces driver capacity to react and analyze …
Artificial intelligence techniques for driving safety and vehicle crash prediction
Accident prediction is one of the most critical aspects of road safety, whereby an accident
can be predicted before it actually occurs and precautionary measures taken to avoid it. For …
can be predicted before it actually occurs and precautionary measures taken to avoid it. For …
Driver fatigue detection based on eye tracking
The international statistics shows that a large number of road accidents are caused by driver
fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely …
fatigue. Therefore, a system that can detect oncoming driver fatigue and issue timely …
Deep neural network-based identification of driving risk utilizing driver dependent vehicle driving features: A scheme for critical infrastructure protection
The modern intelligent transportation system opts for accident prediction modules as a
critical aspect for road safety. Where, an accident is predicted before it actually happens and …
critical aspect for road safety. Where, an accident is predicted before it actually happens and …
Vision-based driver's cognitive load classification considering eye movement using machine learning and deep learning
Due to the advancement of science and technology, modern cars are highly technical, more
activity occurs inside the car and driving is faster; however, statistics show that the number of …
activity occurs inside the car and driving is faster; however, statistics show that the number of …
An overview and evaluation of various face and eyes detection algorithms for driver fatigue monitoring systems
M Lopar, S Ribarić - arXiv preprint arXiv:1310.0317, 2013 - arxiv.org
In this work various methods and algorithms for face and eyes detection are examined in
order to decide which of them are applicable for use in a driver fatigue monitoring system. In …
order to decide which of them are applicable for use in a driver fatigue monitoring system. In …
Profiling drivers based on driver dependent vehicle driving features
This work addresses the problem of profiling drivers based on their driving features. A
purpose-built hardware integrated with a software tool is used to record data from multiple …
purpose-built hardware integrated with a software tool is used to record data from multiple …
Vigilancenet: decouple intra-and inter-modality learning for multimodal vigilance estimation in RSVP-based BCI
X Cheng, W Wei, C Du, S Qiu, S Tian, X Ma… - Proceedings of the 30th …, 2022 - dl.acm.org
Recently, brain-computer interface (BCI) technology has made impressive progress and has
been developed for many applications. Thereinto, the BCI system based on rapid serial …
been developed for many applications. Thereinto, the BCI system based on rapid serial …