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Roads; Safety; Distraction warning; eye movements;
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Artificial neural networks; driver distraction and inattention
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1604
Labeling
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Accidents, Databases, Feature extraction, Gold, Monitoring, Vehicles,
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Heart rate variability, Physiology, Sensors, Skin, Stress, Vehicles,
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Accelerometers, Biomedical monitoring, Mobile handsets, Stress,
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wearable, system
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IEEE DOI
1909
Sensors, Accelerometers, Gyroscopes, Acceleration, Automobiles, Wheels,
Smart sensing, intelligent transportation systems,
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Survey, Driver Stress.
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1906
Vehicles, Task analysis, Support vector machines, Machine learning,
Artificial neural networks, Machine learning algorithms,
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Safe driving, Intelligent transportation system,
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Distracted driver, Deep learning, Convolutional Neural Network,
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2106
Biological control systems, Vehicles, Drives, Image color analysis,
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cusum
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IEEE DOI
2109
Vehicles, Accidents, Manuals, Roads, Feature extraction, Safety,
Computer architecture, Neural architecture search,
intelligent transportation systems
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IET-ITS(16), No. 1, 2022, pp. 114-132.
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2112
cognitive distraction, connected environment,
intelligent vehicle, stacking-based ensemble learning method
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ICPR21(1228-1235)
IEEE DOI
2105
Pose estimation, Feature extraction, Data mining, Accidents
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Predicting Driver Attention in Critical Situations,
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Springer DOI
1906
BibRef
Baheti, B.,
Gajre, S.,
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Detection of Distracted Driver Using Convolutional Neural Network,
AutoDrive18(1145-11456)
IEEE DOI
1812
Vehicles, Computer architecture, Vehicle crash testing,
Convolutional neural networks, Task analysis, Wheels, Roads
BibRef
Borghi, G.,
Frigieri, E.,
Vezzani, R.,
Cucchiara, R.,
Hands on the wheel: A Dataset for Driver Hand Detection and Tracking,
FG18(564-570)
IEEE DOI
1806
Automobiles, Automotive engineering, Cameras, Task analysis,
Tracking, Wheels, Hand detection, automotive, dataset
BibRef
Theagarajan, R.,
Bhanu, B.,
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Le, B.,
Tambo, A.,
Novel representation for driver emotion recognition in motor vehicle
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ICIP17(810-814)
IEEE DOI
1803
Correlation, Emotion recognition, Face, Gabor filters,
Spatiotemporal phenomena, Vehicle dynamics, Videos,
feature extraction
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Le, T.H.N.,
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Zhu, C.,
Duong, C.N.,
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Savvides, M.,
Robust Hand Detection and Classification in Vehicles and in the Wild,
CVVT17(1203-1210)
IEEE DOI
1709
Databases, Feature extraction, Object detection, Proposals,
Robustness, Support vector machines, Vehicles
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Ou, C.[Chaojie],
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Transfer Learning Based Strategy for Improving Driver Distraction
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ICIAR18(443-452).
Springer DOI
1807
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Koesdwiady, A.[Arief],
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Karray, F.[Fakhri],
End-to-End Deep Learning for Driver Distraction Recognition,
ICIAR17(11-18).
Springer DOI
1706
BibRef
Ragab, A.[Amira],
Craye, C.[Celine],
Kamel, M.S.[Mohamed S.],
Karray, F.[Fakhri],
A Visual-Based Driver Distraction Recognition and Detection Using
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ICIAR14(I: 256-265).
Springer DOI
1410
BibRef
Rezaei, M.[Mahdi],
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Look at the Driver, Look at the Road: No Distraction! No Accident!,
CVPR14(129-136)
IEEE DOI
1409
2D to 3D modelling
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Rezaei, M.[Mahdi],
Klette, R.[Reinhard],
Novel Adaptive Eye Detection and Tracking for Challenging Lighting
Conditions,
DTCE12(II:427-440).
Springer DOI
1304
BibRef
Earlier:
3D Cascade of Classifiers for Open and Closed Eye Detection in Driver
Distraction Monitoring,
CAIP11(II: 171-179).
Springer DOI
1109
BibRef
Kutila, M.[Matti],
Jokela, M.[Maria],
Markkula, G.[Gustav],
Rue, M.R.[Maria Romera],
Driver Distraction Detection with a Camera Vision System,
ICIP07(VI: 201-204).
IEEE DOI
0709
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
License Plate Recognition, Extraction, Analysis .