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Drowsy driver detection using representation learning

https://doi.org/10.1109/iadcc.2014.6779459

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Recurrent Neural Networks for Prediction

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Drowsy Driver Detection Through Facial Movement Analysis

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Electroencephalographic study of drowsiness in simulated driving with sleep deprivation

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Continuous restricted Boltzmann machine with an implementable training algorithm

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Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions

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Face and eye tracking algorithm based on digital image processing

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Estimate of Driver’s Fatigue Through Steering Motion

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Eye-tracking for detection of driver fatigue

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Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue

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Applications of driver's line of sight to automobiles-what can driver's eye tell

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Restricted Boltzmann machines for collaborative filtering

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Convolutional networks for images, speech, and time series

What points at this work

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Driver Fatigue Detection Based On Facial Feature Analysis

inferred← citeshttps://doi.org/10.1145/3478084openalex-snapshot

DriverSonar

inferred← citeshttps://doi.org/10.1145/3614437openalex-snapshot

mmDrive: Fine-grained Fatigue Driving Detection Using mmWave Radar

inferred← citeshttps://doi.org/10.1145/3652583.3657618openalex-snapshot

YawnNet: A Visual-Centric Approach for Yawning Detection

inferred← citeshttps://doi.org/10.11591/ijeecs.v29.i2.pp761-771openalex-snapshot

Brain signals analysis for sleep stages detection using virtual instrumentation platform

inferred← citeshttps://doi.org/10.1177/1071181319631220openalex-snapshot

What are steering pictures are worth? Using image-based steering features to detect drowsiness on rural roads

inferred← citeshttps://doi.org/10.1186/s13634-016-0355-xopenalex-snapshot

A survey of machine learning for big data processing

inferred← citeshttps://doi.org/10.12694/scpe.v25i5.3046openalex-snapshot

Driver Drowsiness Detection

inferred← citeshttps://doi.org/10.14483/22484728.14618openalex-snapshot

Evaluation of hyperparameters in CNN for detecting patterns in images

inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0120794openalex-snapshot

Real-time Driver Drowsiness Detection using Deep Learning

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150317openalex-snapshot

A CNN-based Deep Learning Framework for Driver’s Drowsiness Detection

inferred← citeshttps://doi.org/10.15199/48.2017.10.02openalex-snapshot

Zastosowanie sieci konwolucyjnej do wykrywania wybranych symptomów zmęczenia kierowcy

inferred← citeshttps://doi.org/10.17485/ijst/2019/v12i37/148647openalex-snapshot

SCF: Smart Big Data Classification Framework

inferred← citeshttps://doi.org/10.17577/ijertv9is120230openalex-snapshot

Driver Drowsiness Detection using Microservices and Convolutional Neural Network

inferred← citeshttps://doi.org/10.18280/ijsse.100308openalex-snapshot

Stacked Ensemble Classification Based Real-Time Driver Drowsiness Detection

inferred← citeshttps://doi.org/10.18280/ria.330609openalex-snapshot

Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State

inferred← citeshttps://doi.org/10.18280/ts.400302openalex-snapshot

Real-Time Driver Drowsiness Detection and Classification on Embedded Systems Using Machine Learning Algorithms

inferred← citeshttps://doi.org/10.21608/erjeng.2022.141514.1067openalex-snapshot

A CNN-LSTM-based Deep Learning Approach for Driver Drowsiness Prediction

inferred← citeshttps://doi.org/10.22214/ijraset.2021.36706openalex-snapshot

Driver Drowsiness Detection Using Convolutional Neural Networks

inferred← citeshttps://doi.org/10.22531/muglajsci.1481648openalex-snapshot

REAL-TIME AND DEEP LEARNING-BASED FATIGUE DETECTION FOR DRIVERS

inferred← citeshttps://doi.org/10.23919/ccc50068.2020.9188388openalex-snapshot

A Novel Eye State Detection Method via WBCNN

inferred← citeshttps://doi.org/10.23919/eleco54474.2021.9677724openalex-snapshot

Driver Drowsiness Detection using MobileNets and Long Short-term Memory

inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115566openalex-snapshot

IoT Based Driver Drowsiness Detection Using Convolutional Neural Network

inferred← citeshttps://doi.org/10.24425/bpas.2018.125934openalex-snapshot

Detection of driver fatigue symptoms using transfer learning

inferred← citeshttps://doi.org/10.2478/acss-2022-0009openalex-snapshot

Detection of Driver Dynamics with VGG16 Model

inferred← citeshttps://doi.org/10.26439/ciis2018.5495openalex-snapshot

Adaptación y comparación de dos metodologías de reconocimiento facial aplicadas a la detección de somnolencia en conductores

inferred← citeshttps://doi.org/10.3126/jost.v4i2.78953openalex-snapshot

Real-Time Driver Drowsiness Detection Using CNN: A Web-Based Application Approach

inferred← citeshttps://doi.org/10.3233/ica-140476openalex-snapshot

Fatigue detection with 3D facial features based on binocular stereo vision

inferred← citeshttps://doi.org/10.3233/jifs-169909openalex-snapshot

Real time detection system of driver drowsiness based on representation learning using deep neural networks

inferred← citeshttps://doi.org/10.32628/ijsrst2512312openalex-snapshot

Driver Drowsiness Detection and Alarm System Using Deep Learning

inferred← citeshttps://doi.org/10.3390/app11020821openalex-snapshot

Deep Learning-Based Applications for Safety Management in the AEC Industry: A Review

inferred← citeshttps://doi.org/10.3390/brainsci10010046openalex-snapshot

On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-Sensing and Vision-Based Analysis, Evaluations, and Insights

inferred← citeshttps://doi.org/10.3390/brainsci10080526openalex-snapshot

Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification

inferred← citeshttps://doi.org/10.3390/ijerph18136705openalex-snapshot

REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health

inferred← citeshttps://doi.org/10.3390/ijerph19031470openalex-snapshot

Driver Behavior Profiling and Recognition Using Deep-Learning Methods: In Accordance with Traffic Regulations and Experts Guidelines

inferred← citeshttps://doi.org/10.3390/jimaging9050091openalex-snapshot

Real-Time Machine Learning-Based Driver Drowsiness Detection Using Visual Features

inferred← citeshttps://doi.org/10.3390/s21051734openalex-snapshot

Convolutional Neural Network for Drowsiness Detection Using EEG Signals

inferred← citeshttps://doi.org/10.3390/s21072372openalex-snapshot

Ensemble CNN to Detect Drowsy Driving with In-Vehicle Sensor Data

inferred← citeshttps://doi.org/10.35940/ijeat.e2751.0610521openalex-snapshot

Vehicular Security: Drowsy Driver Detection System

inferred← citeshttps://doi.org/10.37917/ijeee.14.2.5openalex-snapshot

Current Big Data Issues and Their Solutions via Deep Learning: An Overview

inferred← citeshttps://doi.org/10.4018/ijcac.312565openalex-snapshot

A Cloud-Based Model for Driver Drowsiness Detection and Prediction Based on Facial Expressions and Activities

inferred← citeshttps://doi.org/10.4271/2020-01-1211openalex-snapshot

Driver Drowsiness Behavior Detection and Analysis Using Vision-Based Multimodal Features for Driving Safety

inferred← citeshttps://doi.org/10.48175/ijarsct-3869openalex-snapshot

Driver Drowsiness Detection

inferred← citeshttps://doi.org/10.48550/arxiv.1912.06991openalex-snapshot

Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data

inferred← citeshttps://doi.org/10.48550/arxiv.2003.07672openalex-snapshot

Urban Traffic Monitoring and Modeling System: An IoT Solution for Enhancing Road Safety

inferred← citeshttps://doi.org/10.48550/arxiv.2103.02162openalex-snapshot

Predicting Driver Fatigue in Automated Driving with Explainability

inferred← citeshttps://doi.org/10.5120/ijca2016909267openalex-snapshot

Real Time Implementation for Monitoring Drowsiness Condition of a Train Driver using Brain Wave Sensor

inferred← citeshttps://doi.org/10.54392/irjmt2614openalex-snapshot

Cross-Domain Transfer Learning with Vision Transformers for Fatigue Recognition from Facial Expressions

inferred← citeshttps://doi.org/10.55041/ijsrem12195openalex-snapshot

Driver Drowsiness Detection using Deep Learning Algorithms

inferred← citeshttps://doi.org/10.56726/irjmets34669openalex-snapshot

AN ARTIFICIAL INTELLLIGENCE BASED DRIVER DROWSINESS DETECTION SYSTEM USING LIVE IMAGE WITH AUTOMATIC BREAKING

inferred← citeshttps://doi.org/10.5815/ijigsp.2020.03.05openalex-snapshot

A Brief Review on Different Driver’s Drowsiness Detection Techniques

inferred← citeshttps://doi.org/10.70675/8ad96c93z6a1az48d5z8560z03d6d44890caopenalex-snapshot

Analyse de l'hypovigilance au volant par fusion d'informations environnementales et d'indices vidéo

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