16.7.2.8.2 Driver Monitoring, Eyes, Gaze, Drowsiness

Chapter Contents (Back)
Eye Tracking. Gaze Determination. Gaze Tracking. Drowsiness. Driver Monitoring. Fatigue and Drowsiness share a lot:
See also Driver Fatigue.
See also Driver Distraction Analysis, Driver Attention, Driver Inattention.
See also Gaze Tracking, Gaze Determination.
See also Eye Tracking, Pupil Tracking.
See also Driver Assistance Systems and Techniques. Non eye monitoring:
See also Surveillance of Vehicles and Occupants, Driver Monitoring.

Smart Eye,
1999.
WWW Link. Vendor, Eye Tracking. Vendor, Driver Monitoring. Eye tracking for driver monitoring.

Skolnick, M.[Max], Boxer, J.[Julius],
Sleep Inhibitor for Automobile Drivers,
US_Patent2,724,109, Nov 1955
WWW Link. Simple image system. BibRef 5511

Campisi, H.A.[Hugo Amilio],
Sleep Warning Device,
US_Patent2,726,380, Dec 1955
WWW Link. BibRef 5512

Wiegel, L.A.[Louis A.],
Anti-Doze Device for Automobile Drivers,
US_Patent3,524,030, Aug 1970
WWW Link. Why use imaging when mechanical works? BibRef 7008

Anbergen, H.J.[Henricus J.],
Drowsiness detecting apparatus,
US_Patent4,144,531, Mar 13, 1979
WWW Link. Simple detector on glasses. BibRef 7903

Ishikawa, H.[Hiroshi], Matsui, K.[Kazuma], Kurahashi, T.[Takashi], Akatsuka, H.[Hidehiko], Yamada, M.[Motokazu],
Position analyzer for vehicle drivers,
US_Patent4,625,329, Nov 25, 1986
WWW Link. IR projected on face. BibRef 8611

Tock, D.[David], Craw, I.[Ian],
Tracking and Measuring Drivers Eyes,
IVC(14), No. 8, August 1996, pp. 541-547.
Elsevier DOI 9609
BibRef
Earlier: BMVC95(xx-yy).
PDF File. 9509
BibRef
Earlier:
Blink Rate Monitoring for a Driver Awareness System,
BMVC92(xx-yy).
PDF File. 9209
BibRef

Stockman, G.[George], Chen, J.L.[Jin-Long], Cui, Y.T.[Yun-Tao], Reynolds, H.[Herbert],
Measuring Body Points on Automobile Drivers Using Multiple Cameras,
IVC(15), No. 4, April 1997, pp. 317-329.
Elsevier DOI 9706
BibRef

Aboutalib, O.[Omar], Ramroth, R.R.[Richard Roy],
Impaired operator detection and warning system employing eyeblink analysis,
US_Patent5,867,587, Feb 2, 1999
WWW Link. Find eyes and detect blinks. BibRef 9902

Griesinger, M.[Manfred], Renner, G.[Goetz], Ziegler, W.[Walter],
Apparatus for determining the alertness of a driver,
US_Patent6,097,295, Aug 1, 2000
WWW Link. image the eye. BibRef 0008

Ruan, Y.C.[Ying Chao], Tang, J.Q.[Jing Qing],
Dual function optic sleep preventing device for vehicle drivers,
US_Patent6,147,612, Nov 14, 2000
WWW Link. BibRef 0011

Yeo, J.H.[Jung-Hack],
Driver's drowsiness detection method of drowsy driving warning system,
US_Patent6,243,015, Jun 5, 2001
WWW Link. BibRef 0106

Gutta, S.[Srinivas], Trajkovic, M.[Miroslav], Colmenarez, A.[Antonio],
System for monitoring a driver's attention to driving,
US_Patent6,496,117, Dec 17, 2002
WWW Link. BibRef 0212

Gutta, S.[Srinivas], Philomin, V.[Vasanth], Trajkovic, M.[Miroslav],
Vision-based method and apparatus for automatically activating a child safety feature,
US_Patent6,720,880, Apr 13, 2004
WWW Link. BibRef 0404

Ji, Q.A.[Qi-Ang], Yang, X.J.[Xiao-Jie],
Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance,
RealTimeImg(8), No. 5, October 2002, pp. 357-377.
DOI Link 0304
BibRef

Smith, R.P.[Raymond Paul], Shah, M.[Mubarak], da Vitoria Lobo, N.[Niels],
Determining driver visual attention with one camera,
ITS(4), No. 4, December 2003, pp. 205-218.
IEEE Abstract. 0402
BibRef
Earlier:
Monitoring Head/eye Motion for Driver Alertness with One Camera,
ICPR00(Vol IV: 636-642).
IEEE DOI 0009
BibRef

Pilutti, T., Ulsoy, A.G.,
Identification of Driver State for Lane-Keeping Tasks,
SMC-A(29), No. 5, September 1999, pp. 486.
IEEE Top Reference. BibRef 9909

Pirim, P.[Patrick], Binford, T.O.[Thomas O.],
Method and apparatus for detection of drowsiness,
US_Patent6,717,518, Apr 6, 2004
WWW Link. BibRef 0404

Berenz, J.J.[John J.], McIver, G.W.[George W.], Niesen, J.W.[Joseph W.], Dunbridge, B.[Barry], Shreve, G.A.[Gregory A.],
Application of human facial features recognition to automobile safety,
US_Patent6,724,920, Apr 20, 2004
WWW Link. BibRef 0404
And:
Application of human facial features recognition to automobile security and convenience,
US_Patent7,110,570, Sep 19, 2006
WWW Link. BibRef
And:
Optimized human presence detection through elimination of background interference,
US_Patent6,810,135, Oct 26, 2004
WWW Link. BibRef
And:
Human presence detection, identification and tracking using a facial feature image sensing system for airbag deployment,
US_Patent6,904,347, Jun 7, 2005
WWW Link. BibRef

Smith, R.P.[Raymond Paul], Shah, M.[Mubarak], da Vitoria Lobo, N.[Niels],
Algorithm for monitoring head/eye motion for driver alertness with one camera,
US_Patent6,927,694, Aug 9, 2005
WWW Link. BibRef 0508

Healey, J.A.[Jennifer A.], and Picard, R.W.[Rosalind W.],
Detecting Stress During Real-World Driving Tasks Using Physiological Sensors,
ITS(6), No. 2, June 2005, pp. 156-166.
IEEE Abstract. 0506
BibRef

Newman, T.J.[Timothy J.], Scharenbroch, G.K.[Gregory K.], Smith, M.R.[Matthew R.], Zhang, H.[Harry], Widmann, G.R.[Glenn R.], Witt, G.J.[Gerald J.],
Vehicle situation alert system with eye gaze controlled alert signal generation,
US_Patent6,859,144, Feb 22, 2005
WWW Link. BibRef 0502

Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R., Lopez, M.E.,
Real-time system for monitoring driver vigilance,
ITS(7), No. 1, March 2006, pp. 63-77.
IEEE DOI 0604
BibRef
Earlier: A1, A2, A3 only Plus add A4: Vazquez, M., IVS04(78-83).
IEEE DOI 0411
BibRef

Schreiber, D.[David], Luo, Y.[Yun],
Seat detection in a car for a smart airbag application,
PRL(28), No. 4, 1 March 2007, pp. 534-544.
Elsevier DOI 0701
3D object recognition; Articulated objects; Free-form objects; Generalized Hough transform; Smart airbag; Occupant detection and classification BibRef

d'Orazio, T., Leo, M., Guaragnella, C., Distante, A.,
A visual approach for driver inattention detection,
PR(40), No. 8, August 2007, pp. 2341-2355.
Elsevier DOI 0704
BibRef
Earlier: A1, A2, A4, Only:
Eye detection in face images for a driver vigilance system,
IVS04(95-98).
IEEE DOI 0411
Iris detection; Behavior analysis; Neural network; Mixture Gaussian model BibRef

Cheng, S.Y.[Shinko Y.], Park, S.H.[Sang-Ho], Trivedi, M.M.[Mohan M.],
Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis,
CVIU(106), No. 2-3, May-June 2007, pp. 245-257.
Elsevier DOI 0705
BibRef
Earlier:
Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis,
OTCBVS05(III: 3-3).
IEEE DOI 0507
Long-wavelength infrared; Tracking; Human-computer interaction; Gesture recognition; Template-based classification; Integration of multiple-cues BibRef

McCall, J.C., Wipf, D.P., Trivedi, M.M., Rao, B.D.[Bhaskar D.],
Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning,
ITS(8), No. 3, September 2007, pp. 431-440.
IEEE DOI 0710
BibRef
Earlier: A1, A3, A2, A4: MVIV05(III: 59-59).
IEEE DOI 0507
BibRef

Cheng, S.Y., Trivedi, M.M.,
Human posture estimation using voxel data for 'smart' airbag systems: issues and framework,
IVS04(84-89).
IEEE DOI 0411
BibRef

Sekizawa, S., Inagaki, S., Suzuki, T., Hayakawa, S., Tsuchida, N., Tsuda, T., Fujinami, H.,
Modeling and Recognition of Driving Behavior Based on Stochastic Switched ARX Model,
ITS(8), No. 4, December 2007, pp. 593-606.
IEEE DOI 0712
BibRef

Katsis, C.D., Katertsidis, N., Ganiatsas, G., Fotiadis, D.I.,
Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach,
SMC-A(38), No. 3, May 2008, pp. 502-512.
IEEE DOI 0804
Driver Monitoring. BibRef

Steffin, M.[Morris],
Method and apparatus for detection of drowsiness and quantitative control of biological processes,
US_Patent7,336,804, Feb 26, 2008
WWW Link. BibRef 0802

Skog, I., Handel, P.,
In-Car Positioning and Navigation Technologies: A Survey,
ITS(10), No. 1, March 2009, pp. 4-21.
IEEE DOI 0903
Survey, Driver Monitoring. BibRef

Giusti, A.[Alessandro], Zocchi, C., Rovetta, A.,
A Noninvasive System for Evaluating Driver Vigilance Level Examining Both Physiological and Mechanical Data,
ITS(10), No. 1, March 2009, pp. 127-134.
IEEE DOI 0903
BibRef

Malta, L., Miyajima, C., Takeda, K.,
A Study of Driver Behavior Under Potential Threats in Vehicle Traffic,
ITS(10), No. 2, June 2009, pp. 201-210.
IEEE DOI 0906
BibRef

Doshi, A., Trivedi, M.M.,
On the Roles of Eye Gaze and Head Dynamics in Predicting Driver's Intent to Change Lanes,
ITS(10), No. 3, September 2009, pp. 453-462.
IEEE DOI 0909
BibRef

Murphy-Chutorian, E., Trivedi, M.M.,
Head Pose Estimation and Augmented Reality Tracking: An Integrated System and Evaluation for Monitoring Driver Awareness,
ITS(11), No. 2, June 2010, pp. 300-311.
IEEE DOI 1007

See also Particle filtering with rendered models: A two pass approach to multi-object 3D tracking with the GPU. BibRef

Pauwelussen, J., Feenstra, P.J.,
Driver Behavior Analysis During ACC Activation and Deactivation in a Real Traffic Environment,
ITS(11), No. 2, June 2010, pp. 329-338.
IEEE DOI 1007
BibRef

Perez, A., Garcia, M.I., Nieto, M., Pedraza, J.L., Rodriguez, S., Zamorano, J.,
Argos: An Advanced In-Vehicle Data Recorder on a Massively Sensorized Vehicle for Car Driver Behavior Experimentation,
ITS(11), No. 2, June 2010, pp. 463-473.
IEEE DOI 1007
BibRef

Lee, S.J., Jo, J., Jung, H.G., Park, K.R., Kim, J.,
Real-Time Gaze Estimator Based on Driver's Head Orientation for Forward Collision Warning System,
ITS(12), No. 1, March 2011, pp. 254-267.
IEEE DOI 1103
For driver monitoring. BibRef

Malta, L., Miyajima, C., Kitaoka, N., Takeda, K.,
Analysis of Real-World Driver's Frustration,
ITS(12), No. 1, March 2011, pp. 109-118.
IEEE DOI 1103
BibRef

Sandberg, D., Akerstedt, T., Anund, A., Kecklund, G., Wahde, M.,
Detecting Driver Sleepiness Using Optimized Nonlinear Combinations of Sleepiness Indicators,
ITS(12), No. 1, March 2011, pp. 97-108.
IEEE DOI 1103
BibRef

Jabon, M.E.[Maria E.], Ahn, G.[Grace], Bailenson, J.N.[Jeremy N.],
Automatically Analyzing Facial-Feature Movements to Identify Human Errors,
IEEE_Int_Sys(26), No. 2, March-April 2011, pp. 54-63.
IEEE DOI 1104
I.e. monitoring face features during a task to predict performance. BibRef

Jabon, M.E.[Maria E.], Bailenson, J.N.[Jeremy N.], Pontikakis, E.[Emmanuel], Takayama, L.[Leila], Nass, C.[Clifford],
Facial Expression Analysis for Predicting Unsafe Driving Behavior,
PerComp(10), No. 4, October-December 2011, pp. 84-95.
IEEE DOI 1204
Track driver features, predict accidents. BibRef

Dong, Y., Hu, Z., Uchimura, K., Murayama, N.,
Driver Inattention Monitoring System for Intelligent Vehicles: A Review,
ITS(12), No. 2, June 2011, pp. 596-614.
IEEE DOI 1101
BibRef

Takeda, K., Hansen, J.H.L., Boyraz, P., Malta, L., Miyajima, C., Abut, H.,
International Large-Scale Vehicle Corpora for Research on Driver Behavior on the Road,
ITS(12), No. 4, December 2011, pp. 1609-1623.
IEEE DOI 1112
BibRef

Tran, C.[Cuong], Doshi, A.[Anup], Trivedi, M.M.[Mohan Manubhai],
Modeling and prediction of driver behavior by foot gesture analysis,
CVIU(116), No. 3, March 2012, pp. 435-445.
Elsevier DOI 1201
Gesture analysis; Hidden Markov Models; Optical flow; Intelligent Driver Assistance; Active safety; Accident prevention; Pedal misapplications; Foot tracking; Intelligent vehicle BibRef

Rigas, G., Goletsis, Y., Fotiadis, D.I.,
Real-Time Driver's Stress Event Detection,
ITS(13), No. 1, March 2012, pp. 221-234.
IEEE DOI 1203
BibRef

Flores, M.J., Armingol, J.M., de la Escalera, A.[Arturo],
Driver drowsiness detection system under infrared illumination for an intelligent vehicle,
IET-ITS(5), No. 4, 2011, pp. 241-251.
DOI Link 1204
BibRef

Lethaus, F., Rataj, J.,
Do eye movements reflect driving manoeuvres?,
IET-ITS(1), No. 3, 2007, pp. 199-204.
DOI Link 1204
BibRef

Laureshyn, A., Ardo, H., Svensson, A., Jonsson, T.,
Application of automated video analysis for behavioural studies: concept and experience,
IET-ITS(3), No. 3, 2009, pp. 345-357.
DOI Link 1204
BibRef

Picot, A., Charbonnier, S., Caplier, A.,
On-Line Detection of Drowsiness Using Brain and Visual Information,
SMC-A(42), No. 3, May 2012, pp. 764-775.
IEEE DOI 1204
BibRef
Earlier: A1, A3, A2:
Comparison between EOG and high frame rate camera for drowsiness detection,
WACV09(1-6).
IEEE DOI 0912
BibRef

Ahlstrom, C., Victor, T., Wege, C., Steinmetz, E.,
Processing of Eye/Head-Tracking Data in Large-Scale Naturalistic Driving Data Sets,
ITS(13), No. 2, June 2012, pp. 553-564.
IEEE DOI 1206
BibRef

Zhao, C.H., Zhang, B.L., He, J., Lian, J.,
Recognition of driving postures by contourlet transform and random forests,
IET-ITS(6), No. 2, 2012, pp. 161-168.
DOI Link 1206
BibRef

Das, D., Zhou, S., Lee, J.D.,
Differentiating Alcohol-Induced Driving Behavior Using Steering Wheel Signals,
ITS(13), No. 3, September 2012, pp. 1355-1368.
IEEE DOI 1209
BibRef

Wang, K.F.[Kun-Feng], Huang, W.L.[Wu-Ling], Tian, B.[Bin], Wen, D.[Ding],
Measuring Driving Behaviors from Live Video,
IEEE_Int_Sys(27), No. 5, September-October 2012, pp. 75-80.
IEEE DOI 1212
BibRef

Metari, S., Prel, F., Moszkowicz, T., Laurendeau, D., Teasdale, N., Beauchemin, S., Simoneau, M.,
A computer vision framework for the analysis and interpretation of the cephalo-ocular behavior of drivers,
MVA(24), No. 1, January 2013, pp. 159-173.
WWW Link. 1301
BibRef

Yang, Y., McDonald, M., Zheng, P.,
Can drivers' eye movements be used to monitor their performance? a case study,
IET-ITS(6), No. 4, 2012, pp. 444-452.
DOI Link 1302
BibRef

Fu, X., Guan, X., Peli, E., Liu, H., Luo, G.,
Automatic Calibration Method for Driver's Head Orientation in Natural Driving Environment,
ITS(14), No. 1, March 2013, pp. 303-312.
IEEE DOI 1303
BibRef

Metaxas, D.N.[Dimitris N.], Zhang, S.T.[Shao-Ting],
A review of motion analysis methods for human Nonverbal Communication Computing,
IVC(31), No. 6-7, June-July 2013, pp. 421-433.
Elsevier DOI 1306
Survey, Facial Expressions. Nonverbal Communication Computing; Motion analysis; Face tracking; Facial expression recognition; Gesture recognition; Group activity analysis BibRef

Schwarze, A.[Anke], Buntins, M.[Matthias], Schicke-Uffmann, J.[Jens], Goltz, U.[Ursula], Eggert, F.[Frank],
Modelling driving behaviour using hybrid automata,
IET-ITS(7), No. 2, 2013, pp. 251-256.
DOI Link 1307
BibRef

Wu, B.F., Chen, Y.H., Yeh, C.H., Li, Y.F.,
Reasoning-Based Framework for Driving Safety Monitoring Using Driving Event Recognition,
ITS(14), No. 3, 2013, pp. 1231-1241.
IEEE DOI 1309
Driving events; driving safety; fuzzy logic; hidden Markov models (HMMs) BibRef

Mbouna, R.O.[R. Oyini], Kong, S.G., Chun, M.G.,
Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring,
ITS(14), No. 3, 2013, pp. 1462-1469.
IEEE DOI 1309
Driver alertness monitoring BibRef

Das Gupta, A., George, A., Happy, S.L., Routray, A.,
A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers,
ITS(14), No. 4, 2013, pp. 1825-1838.
IEEE DOI 1312
Feature extraction BibRef

Tawari, A.[Ashish], Martin, S.[Sujitha], Trivedi, M.M.[Mohan M.],
Continuous Head Movement Estimator for Driver Assistance: Issues, Algorithms, and On-Road Evaluations,
ITS(15), No. 2, April 2014, pp. 818-830.
IEEE DOI 1404
Cameras BibRef

Ohn-Bar, E.[Eshed], Trivedi, M.M.[Mohan M.],
Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations,
ITS(15), No. 6, December 2014, pp. 2368-2377.
IEEE DOI 1412
automobiles BibRef

Ohn-Bar, E.[Eshed], Martin, S.[Sujitha], Tawari, A.[Ashish], Trivedi, M.M.[Mohan M.],
Head, Eye, and Hand Patterns for Driver Activity Recognition,
ICPR14(660-665)
IEEE DOI 1412
BibRef
Earlier: A1, A3, A2, A4:
Vision on Wheels: Looking at Driver, Vehicle, and Surround for On-Road Maneuver Analysis,
IWMV14(185-190)
IEEE DOI 1409
active safety BibRef

Tada, M., Noma, H., Utsumi, A., Segawa, M., Okada, M., Renge, K.,
Elderly driver retraining using automatic evaluation system of safe driving skill,
IET-ITS(8), No. 3, May 2014, pp. 266-272.
DOI Link 1407
BibRef

Takahashi, I., Takaishi, T., Yokoyama, K.,
Overcoming Drowsiness by Inducing Cardiorespiratory Phase Synchronization,
ITS(15), No. 3, June 2014, pp. 982-991.
IEEE DOI 1407
Biomedical monitoring BibRef

Wu, B.F.[Bing-Fei], Chen, Y.H.[Ying-Han], Yeh, C.H.[Chung-Hsuan],
Driving behaviour-based event data recorder,
IET-ITS(8), No. 4, June 2014, pp. 361-367.
DOI Link 1407
BibRef

Olaverri-Monreal, C., Hasan, A.E., Bulut, J., Korber, M., Bengler, K.,
Impact of In-Vehicle Displays Location Preferences on Drivers' Performance and Gaze,
ITS(15), No. 4, August 2014, pp. 1770-1780.
IEEE DOI 1410
automobiles BibRef

Shirazi, M.M., Rad, A.B.,
Detection of Intoxicated Drivers Using Online System Identification of Steering Behavior,
ITS(15), No. 4, August 2014, pp. 1738-1747.
IEEE DOI 1410
Kalman filters BibRef

Pelaez C, G.A., Garcia, F., de la Escalera, A.[Arturo], Armingol, J.M.,
Driver Monitoring Based on Low-Cost 3-D Sensors,
ITS(15), No. 4, August 2014, pp. 1855-1860.
IEEE DOI 1410
driver information systems BibRef

Narayanan, A., Kaimal, R.M., Bijlani, K.,
Yaw Estimation Using Cylindrical and Ellipsoidal Face Models,
ITS(15), No. 5, October 2014, pp. 2308-2320.
IEEE DOI 1410
alarm systems BibRef

Narayanan, A., Kaimal, R.M., Bijlani, K.,
Estimation of Driver Head Yaw Angle Using a Generic Geometric Model,
ITS(17), No. 12, December 2016, pp. 3446-3460.
IEEE DOI 1612
Estimation BibRef

Resalat, S.N.[Seyed Navid], Saba, V.[Valiallah],
A practical method for driver sleepiness detection by processing the EEG signals stimulated with external flickering light,
SIViP(9), No. 8, November 2015, pp. 1751-1757.
WWW Link. 1511
BibRef

Akrout, B.[Belhassen], Mahdi, W.[Walid],
Spatio-temporal features for the automatic control of driver drowsiness state and lack of concentration,
MVA(26), No. 1, January 2015, pp. 1-13.
WWW Link. 1503
BibRef

Taniguchi, T., Nagasaka, S., Hitomi, K., Takenaka, K., Bando, T.,
Unsupervised Hierarchical Modeling of Driving Behavior and Prediction of Contextual Changing Points,
ITS(16), No. 4, August 2015, pp. 1746-1760.
IEEE DOI 1508
Context modeling BibRef

Taniguchi, T., Furusawa, K., Liu, H., Tanaka, Y., Takenaka, K., Bando, T.,
Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer,
ITS(17), No. 3, March 2016, pp. 810-821.
IEEE DOI 1603
Hidden Markov models BibRef

Taniguchi, T., Nagasaka, S., Hitomi, K., Chandrasiri, N.P., Bando, T., Takenaka, K.,
Sequence Prediction of Driving Behavior Using Double Articulation Analyzer,
SMCS(46), No. 9, September 2016, pp. 1300-1313.
IEEE DOI 1609
Context BibRef

Vicente, F., Huang, Z., Xiong, X., de la Torre, F.[Fernando], Zhang, W., Levi, D.,
Driver Gaze Tracking and Eyes Off the Road Detection System,
ITS(16), No. 4, August 2015, pp. 2014-2027.
IEEE DOI 1508
Cameras BibRef

Balsa-Barreiro, J., Valero-Mora, P.M., Pareja-Montoro, I., Sánchez-García, M.,
Proposal of geographic information systems methodology for quality control procedures of data obtained in naturalistic driving studies,
IET-ITS(9), No. 7, 2015, pp. 673-682.
DOI Link 1509
behavioural sciences computing. Studies of driver behavior. BibRef

Alioua, N.[Nawal], Amine, A.[Aouatif], Bensrhair, A.[Abdelaziz], Rziza, M.[Mohammed],
Estimating driver head pose using steerable pyramid and probabilistic learning,
IJCVR(5), No. 4, 2015, pp. 347-364.
DOI Link 1511
BibRef

Wahlstrom, J., Skog, I., Handel, P.,
Detection of Dangerous Cornering in GNSS-Data-Driven Insurance Telematics,
ITS(16), No. 6, December 2015, pp. 3073-3083.
IEEE DOI 1512
Global navigation satellite system BibRef

Rodrigues, J.G.P., Kaiseler, M., Aguiar, A., Silva Cunha, J.P., Barros, J.,
A Mobile Sensing Approach to Stress Detection and Memory Activation for Public Bus Drivers,
ITS(16), No. 6, December 2015, pp. 3294-3303.
IEEE DOI 1512
Biomedical monitoring BibRef

Bender, A., Agamennoni, G., Ward, J.R., Worrall, S., Nebot, E.M.,
An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data,
ITS(16), No. 6, December 2015, pp. 3325-3336.
IEEE DOI 1512
Bayes methods BibRef

Olivari, M., Nieuwenhuizen, F.M., Venrooij, J., Bulthoff, H.H., Pollini, L.,
Methods for Multiloop Identification of Visual and Neuromuscular Pilot Responses,
Cyber(45), No. 12, December 2015, pp. 2780-2791.
IEEE DOI 1512
Monitoring applied to pilots. BibRef

Artan, Y.[Yusuf], Bulan, O.[Orhan], Loce, R.P.[Robert P.], Paul, P.[Peter],
Passenger Compartment Violation Detection in HOV/HOT Lanes,
ITS(17), No. 2, February 2016, pp. 395-405.
IEEE DOI 1602
BibRef
Earlier:
Driver Cell Phone Usage Detection from HOV/HOT NIR Images,
PBVS14(225-230)
IEEE DOI 1409
Automotive components. cell phone usage detection;image classification BibRef

Wshah, S., Xu, B., Bulan, O., Kumar, J., Paul, P.,
Deep learning architectures for domain adaptation in HOV/HOT lane enforcement,
WACV16(1-7)
IEEE DOI 1606
Cameras BibRef

Li, N., Busso, C.,
Detecting Drivers' Mirror: Checking Actions and Its Application to Maneuver and Secondary Task Recognition,
ITS(17), No. 4, April 2016, pp. 980-992.
IEEE DOI 1604
Feature extraction BibRef

Fridman, L., Langhans, P., Lee, J., Reimer, B.,
Driver Gaze Region Estimation without Use of Eye Movement,
IEEE_Int_Sys(31), No. 3, May 2016, pp. 49-56.
IEEE DOI 1606
Feature extraction BibRef

Fridman, L., Lee, J., Reimer, B., Victor, T.,
'Owl' and 'Lizard': Patterns of head pose and eye pose in driver gaze classification,
IET-CV(10), No. 4, 2016, pp. 308-313.
DOI Link 1608
driver information systems BibRef

Deng, T., Yang, K., Li, Y., Yan, H.,
Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment,
ITS(17), No. 7, July 2016, pp. 2051-2062.
IEEE DOI 1608
intelligent transportation systems BibRef

Lundgren, M., Hammarstrand, L., McKelvey, T.,
Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes,
ITS(17), No. 10, October 2016, pp. 2739-2750.
IEEE DOI 1610
Cameras BibRef

Aghaei, A.S., Donmez, B., Liu, C.C., He, D., Liu, G., Plataniotis, K.N., Chen, H.Y.W., Sojoudi, Z.,
Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat,
SPMag(33), No. 6, November 2016, pp. 35-48.
IEEE DOI 1609
BibRef
And: Errata: SPMag(34), No. 1, January 2017, pp. 93-93.
IEEE DOI 1702
Computer crashes BibRef

Choi, Y., Han, S.I., Kong, S.H., Ko, H.,
Driver Status Monitoring Systems for Smart Vehicles Using Physiological Sensors: A safety enhancement system from automobile manufacturers,
SPMag(33), No. 6, November 2016, pp. 22-34.
IEEE DOI 1609
Accidents BibRef

Perrett, T., Mirmehdi, M., Dias, E.,
Visual Monitoring of Driver and Passenger Control Panel Interactions,
ITS(18), No. 2, February 2017, pp. 321-331.
IEEE DOI 1702
Cameras BibRef

Le, T.H.N.[T. Hoang Ngan], Zhu, C.C.[Chen-Chen], Zheng, Y.T.[Yu-Tong], Luu, K.[Khoa], Savvides, M.[Marios],
DeepSafeDrive: A grammar-aware driver parsing approach to Driver Behavioral Situational Awareness (DB-SAW),
PR(66), No. 1, 2017, pp. 229-238.
Elsevier DOI 1704
Driver parsing BibRef

Zhang, T., Fruchter, R., Frank, M.,
Are They Paying Attention? A Model-Based Method to Identify Individuals' Mental States,
Computer(50), No. 3, March 2017, pp. 40-49.
IEEE DOI 1704
Brain modeling BibRef

Rohit, F.[Fnu], Kulathumani, V.[Vinod], Kavi, R.[Rahul], Elwarfalli, I.[Ibrahim], Kecojevic, V.[Vlad], Nimbarte, A.[Ashish],
Real-time drowsiness detection using wearable, lightweight brain sensing headbands,
IET-ITS(11), No. 5, June 2017, pp. 255-263.
DOI Link 1705
BibRef

Li, G., Chung, W.Y.,
Combined EEG-Gyroscope-tDCS Brain Machine Interface System for Early Management of Driver Drowsiness,
HMS(48), No. 1, February 2018, pp. 50-62.
IEEE DOI 1801
Brain-Computer Interface. Biomedical monitoring, Brain-computer interfaces, Electrodes, Electroencephalography, Gyroscopes, Sensors, Vehicles, transcranial direct current stimulation (tDCS) BibRef

Zhao, L.[Lei], Wang, Z.C.[Zeng-Cai], Wang, X.J.[Xiao-Jin], Liu, Q.[Qing],
Driver drowsiness detection using facial dynamic fusion information and a DBN,
IET-ITS(12), No. 2, March 2018, pp. 127-133.
DOI Link 1801
BibRef

Jeong, M., Ko, B.C., Kwak, S., Nam, J.,
Driver Facial Landmark Detection in Real Driving Situations,
CirSysVideo(28), No. 10, October 2018, pp. 2753-2767.
IEEE DOI 1811
Shape, Face, Cameras, Vehicles, Monitoring, Facial landmark detection, weighted random forest regressor, RANSAC, global face model, real driving situation BibRef

Zhang, C.F.[Chao-Fei], Wang, W.J.[Wen-Jun], Chen, C.Y.[Chao-Yang], Zeng, C.[Chao], Anderson, D.E.[Dennis E.], Cheng, B.[Bo],
Determination of optimal electroencephalography recording locations for detecting drowsy driving,
IET-ITS(12), No. 5, June 2018, pp. 345-350.
DOI Link 1805
BibRef

Lin, L.[Li], Guo, G.[Gang], Xu, N.[Na],
User-perceived styling experience of smart vehicles: A method to combine eye tracking with semantic differences,
IET-ITS(13), No. 1, January 2019, pp. 72-78.
DOI Link 1901
BibRef

Li, Z.P.[Zheng-Ping], Zhang, K.[Kai], Chen, B.K.[Bo-Kui], Dong, Y.H.[Yu-Han], Zhang, L.[Lin],
Driver identification in intelligent vehicle systems using machine learning algorithms,
IET-ITS(13), No. 1, January 2019, pp. 40-47.
DOI Link 1901
BibRef

Mårtensson, H., Keelan, O., Ahlström, C.,
Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving,
ITS(20), No. 2, February 2019, pp. 421-430.
IEEE DOI 1902
Sleep, Feature extraction, Vehicles, Electroencephalography, Electrocardiography, Roads, Electrooculography, Driver sleepiness, real driving BibRef

Silveira, C.S.[Cláudia Sofia], Cardoso, J.S.[Jaime S.], Lourenço, A.L.[André L.], Ahlström, C.[Christer],
Importance of subject-dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions,
IET-ITS(13), No. 2, February 2019, pp. 347-355.
DOI Link 1902
BibRef

Ulhaq, A., He, J., Zhang, Y.,
Deep actionlet proposals for driver's behavior monitoring,
IVCNZ17(1-6)
IEEE DOI 1902
behavioural sciences computing, cameras, driver information systems, face recognition, feature extraction, Discrete Fourier transforms BibRef

Palazzi, A.[Andrea], Abati, D.[Davide], Calderara, S.[Simone], Solera, F., Cucchiara, R.[Rita],
Predicting the Driver's Focus of Attention: The DR(eye)VE Project,
PAMI(41), No. 7, July 2019, pp. 1720-1733.
IEEE DOI 1906
Task analysis, Vehicles, Visualization, Computational modeling, Semantics, Cameras, Predictive models, Focus of attention, gaze prediction BibRef

Alletto, S., Palazzi, A.[Andrea], Solera, F., Calderara, S.[Simone], Cucchiara, R.[Rita],
DR(eye)VE: A Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving,
CVVT16(54-60)
IEEE DOI 1612
BibRef

Morando, A., Victor, T., Dozza, M.,
A Reference Model for Driver Attention in Automation: Glance Behavior Changes During Lateral and Longitudinal Assistance,
ITS(20), No. 8, August 2019, pp. 2999-3009.
IEEE DOI 1908
Measurement, Automation, Visualization, Roads, Automobiles, Manuals, ADAS, attention, eye tracker, glance distribution, visual behavior BibRef

Tivesten, E.[Emma], Victor, T.W.[Trent W.], Gustavsson, P.[Pär], Johansson, J.[Joel], Aust, M.L.[Mikael Ljung],
Out-of-the-loop crash prediction: the automation expectation mismatch (AEM) algorithm,
IET-ITS(13), No. 8, August 2019, pp. 1231-1240.
DOI Link 1908
BibRef

Wörle, J.[Johanna], Metz, B.[Barbara], Thiele, C.[Christian], Weller, G.[Gert],
Detecting sleep in drivers during highly automated driving: the potential of physiological parameters,
IET-ITS(13), No. 8, August 2019, pp. 1241-1248.
DOI Link 1908
BibRef

Wang, L.[Leye], Geng, X.[Xu], Ma, X.J.[Xiao-Juan], Zhang, D.[Daqing], Yang, Q.A.[Qi-Ang],
Ridesharing car detection by transfer learning,
AI(273), 2019, pp. 1-18.
Elsevier DOI 1908
Transfer learning, Co-training, Trajectory mining BibRef

Yu, J.M.[Jong-Min], Park, S.[Sangwoo], Lee, S.W.[Sang-Wook], Jeon, M.[Moongu],
Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework,
ITS(20), No. 11, November 2019, pp. 4206-4218.
IEEE DOI 1911
Feature extraction, Visualization, Vehicle crash testing, Sensors, Adaptation models, Automobiles, Representation learning, driver drowsiness detection BibRef

Vu, T.H.[Toan H.], Dang, A.[An], Wang, J.C.[Jia-Ching],
A Deep Neural Network for Real-Time Driver Drowsiness Detection,
IEICE(E102-D), No. 12, December 2019, pp. 2637-2641.
WWW Link. 1912
BibRef

Chiou, C., Wang, W., Lu, S., Huang, C., Chung, P., Lai, Y.,
Driver Monitoring Using Sparse Representation With Part-Based Temporal Face Descriptors,
ITS(21), No. 1, January 2020, pp. 346-361.
IEEE DOI 2001
Vehicles, Face, Monitoring, Mouth, Accidents, Computational modeling, Advanced driver assistance systems, driver monitoring systems, temporal face descriptors BibRef

Borghi, G.[Guido], Fabbri, M., Vezzani, R.[Roberto], Cucchiara, R.[Rita], Cucchiara, R.,
Face-from-Depth for Head Pose Estimation on Depth Images,
PAMI(42), No. 3, March 2020, pp. 596-609.
IEEE DOI 2002
Pose estimation, Face, Magnetic heads, Task analysis, Lighting, Head pose estimation, CNNs BibRef

Borghi, G.[Guido], Venturelli, M.[Marco], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
POSEidon: Face-from-Depth for Driver Pose Estimation,
CVPR17(5494-5503)
IEEE DOI 1711
BibRef
Earlier: A2, A1, A3, A4:
Deep Head Pose Estimation from Depth Data for In-Car Automotive Applications,
UHA3DS16(74-85).
Springer DOI 1806
Face, Neural networks, Pose estimation, Vehicles. BibRef

Frigieri, E.[Elia], Borghi, G.[Guido], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Fast and Accurate Facial Landmark Localization in Depth Images for In-Car Applications,
CIAP17(I:539-549).
Springer DOI 1711
BibRef

Nishiyuki, K.[Kenta], Shiau, J.Y.[Jia-Yau], Nagae, S.[Shigenori], Yabuuchi, T.[Tomohiro], Kinoshita, K.[Koichi], Hasegawa, Y.[Yuki], Yamashita, T.[Takayoshi], Fujiyoshi, H.[Hironobu],
Driver Drowsiness Estimation by Parallel Linked Time-Domain CNN with Novel Temporal Measures on Eye States,
IEICE(E103-D), No. 6, June 2020, pp. 1276-1286.
WWW Link. 2006
BibRef

Wang, X.Y.[Xiao-Yuan], Guo, Y.Q.[Yong-Qing], Ban, J.[Jeff], Xu, Q.[Qing], Bai, C.L.[Cheng-Lin], Liu, S.L.[Shan-Liang],
Driver emotion recognition of multiple-ECG feature fusion based on BP network and D-S evidence,
IET-ITS(14), No. 8, August 2020, pp. 815-824.
DOI Link 2007
BibRef

Yang, L., Dong, K., Dmitruk, A.J., Brighton, J., Zhao, Y.,
A Dual-Cameras-Based Driver Gaze Mapping System With an Application on Non-Driving Activities Monitoring,
ITS(21), No. 10, October 2020, pp. 4318-4327.
IEEE DOI 2010
Vehicles, Cameras, Feature extraction, Face, Monitoring, Visualization, Gaze tracking, Driver attention evaluation, Level 3 automation, heat map BibRef

Yang, L.C.[Li-Chao], Dong, K.[Kuo], Ding, Y.[Yan], Brighton, J.[James], Zhan, Z.F.[Zhen-Fei], Zhao, Y.F.[Yi-Fan],
Recognition of visual-related non-driving activities using a dual-camera monitoring system,
PR(116), 2021, pp. 107955.
Elsevier DOI 2106
Driver behaviour, Level 3 automation, Non-driving related task, activities identification BibRef

Yin, J.L., Chen, B.H., Lai, K.H.R.,
Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data,
ITS(21), No. 12, December 2020, pp. 5271-5282.
IEEE DOI 2012
Vehicles, Feature extraction, Biomedical monitoring, Monitoring, Roads, Analytical models, Collaboration, Danger-level analysis, multi-sourced driving data BibRef

Hu, Y., Lu, M., Xie, C., Lu, X.,
Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM,
CirSysVideo(30), No. 12, December 2020, pp. 4755-4768.
IEEE DOI 2012
Generative adversarial networks, Vehicles, Feature extraction, bidirectional long short-term memory BibRef

Yang, H., Liu, L., Min, W., Yang, X., Xiong, X.,
Driver Yawning Detection Based on Subtle Facial Action Recognition,
MultMed(23), 2021, pp. 572-583.
IEEE DOI 2102
convolutional neural nets, deep learning (artificial intelligence), 3D deep learning network BibRef

Jiang, Y., Zhang, Y., Lin, C., Wu, D., Lin, C.T.,
EEG-Based Driver Drowsiness Estimation Using an Online Multi-View and Transfer TSK Fuzzy System,
ITS(22), No. 3, March 2021, pp. 1752-1764.
IEEE DOI 2103
Brain modeling, Electroencephalography, Estimation, Vehicles, Fuzzy systems, Feature extraction, Accidents, Transfer learning, EEG BibRef

Persson, A.[Anna], Jonasson, H.[Hanna], Fredriksson, I.[Ingemar], Wiklund, U.[Urban], Ahlström, C.[Christer],
Heart Rate Variability for Classification of Alert Versus Sleep Deprived Drivers in Real Road Driving Conditions,
ITS(22), No. 6, June 2021, pp. 3316-3325.
IEEE DOI 2106
Sleep, Heart rate variability, Vehicles, Feature extraction, Measurement, Roads, Driver sleepiness, detection, classification, heart rate variability BibRef

Balam, V.P.[Venkata Phanikrishna], Sameer, V.U.[Venkata Udaya], Chinara, S.[Suchismitha],
Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram,
IET-ITS(15), No. 4, 2021, pp. 514-524.
DOI Link 2106
BibRef

Lv, K.[Kai], Sheng, H.[Hao], Xiong, Z.[Zhang], Li, W.[Wei], Zheng, L.[Liang],
Improving Driver Gaze Prediction With Reinforced Attention,
MultMed(23), 2021, pp. 4198-4207.
IEEE DOI 2112
Task analysis, Computational modeling, Vehicles, Predictive models, Hidden Markov models, Semantics, deep learning BibRef

Zhou, F.[Feng], Yang, X.J.[X. Jessie], de Winter, J.C.F.[Joost C. F.],
Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving,
ITS(23), No. 3, March 2022, pp. 2284-2295.
IEEE DOI 2203
Particle measurements, Atmospheric measurements, Vehicles, Task analysis, Time measurement, Predictive models, explainability BibRef

Hu, T.C.[Tian-Cheng], Jha, S.[Sumit], Busso, C.[Carlos],
Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions,
ITS(23), No. 7, July 2022, pp. 8063-8076.
IEEE DOI 2207
Feature extraction, Pose estimation, Magnetic heads, Vehicles, Deep learning, Cameras, Driver head pose estimation, deep learning, temporal modeling BibRef

Huang, J.L.[Jian-Ling], Long, Y.[Yan], Zhao, X.H.[Xiao-Hua],
Driver Glance Behavior Modeling Based on Semi-Supervised Clustering and Piecewise Aggregate Representation,
ITS(23), No. 7, July 2022, pp. 8396-8411.
IEEE DOI 2207
Vehicles, Mirrors, Hidden Markov models, Visualization, Task analysis, Spatiotemporal phenomena, Automobiles, two-dimensional dynamic time warping BibRef

Qian, K.[Kun], Koike, T.[Tomoya], Nakamura, T.[Toru], Schuller, B.W.[Björn W.], Yamamoto, Y.[Yoshiharu],
Learning Multimodal Representations for Drowsiness Detection,
ITS(23), No. 8, August 2022, pp. 11539-11548.
IEEE DOI 2208
Brain modeling, Vehicles, Data models, Feature extraction, Electroencephalography, Predictive models, Machine learning, deep learning BibRef

Qin, L.[Long], Shi, Y.[Yi], He, Y.H.[Ya-Hui], Zhang, J.R.[Jun-Rui], Zhang, X.[Xianshi], Li, Y.J.[Yong-Jie], Deng, T.[Tao], Yan, H.M.[Hong-Mei],
ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region,
ITS(23), No. 9, September 2022, pp. 15898-15908.
IEEE DOI 2209
Vehicles, Object detection, Videos, Predictive models, Visualization, Task analysis, Vehicle dynamics, Visual attention, eye tracking, traffic driving BibRef

Ahmed, M.[Muneeb], Masood, S.[Sarfaraz], Ahmad, M.[Musheer], El-Latif, A.A.A.[Ahmed A. Abd],
Intelligent Driver Drowsiness Detection for Traffic Safety Based on Multi CNN Deep Model and Facial Subsampling,
ITS(23), No. 10, October 2022, pp. 19743-19752.
IEEE DOI 2210
Brain modeling, Feature extraction, Computational modeling, Vehicles, Convolution, Physiology, Kernel, multitask cascaded convolutional networks (MTCNN) BibRef

Baccour, M.H.[Mohamed Hedi], Driewer, F.[Frauke], Schäck, T.[Tim], Kasneci, E.[Enkelejda],
Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines,
ITS(23), No. 12, December 2022, pp. 23164-23178.
IEEE DOI 2212
Vehicles, Monitoring, Behavioral sciences, Cameras, Safety, Feature extraction, Biomedical monitoring, Drowsiness, road safety, feature selection BibRef

Mou, L.[Luntian], Zhou, C.[Chao], Xie, P.[Pengtao], Zhao, P.F.[Peng-Fei], Jain, R.[Ramesh], Gao, W.[Wen], Yin, B.C.[Bao-Cai],
Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion,
MultMed(25), 2023, pp. 529-542.
IEEE DOI 2302
Feature extraction, Convolutional neural networks, Videos, Hidden Markov models, Vehicles, Dictionaries, multimodal fusion model BibRef

Wörle, J.[Johanna], Metz, B.[Barbara], Prill, A.[Andy],
How to Induce Drowsiness When Testing Driver Drowsiness and Attention Warning (DDAW) Systems,
ITS(24), No. 5, May 2023, pp. 4758-4764.
IEEE DOI 2305
Sleep, Vehicles, Testing, Regulation, Safety, Particle measurements, Europe, Drowsiness detection, type approval, test procedure, EU regulation BibRef

Lu, Y.S.[Yan-Sha], Liu, C.S.[Chun-Sheng], Chang, F.L.[Fa-Liang], Liu, H.[Hui], Huan, H.Q.[Heng-Qiang],
JHPFA-Net: Joint Head Pose and Facial Action Network for Driver Yawning Detection Across Arbitrary Poses in Videos,
ITS(24), No. 11, November 2023, pp. 11850-11863.
IEEE DOI 2311
BibRef

Chougule, A.[Amit], Shah, J.[Jash], Chamola, V.[Vinay], Kanhere, S.[Salil],
Enabling Safe ITS: EEG-Based Microsleep Detection in VANETs,
ITS(24), No. 12, December 2023, pp. 15773-15783.
IEEE DOI 2312
BibRef


Urselmann, T.[Teun], Cañas, P.N.[Paola Natalia], Ortega, J.D.[Juan Diego], Nieto, M.[Marcos],
Semi-automatic Pipeline for Large-scale Dataset Annotation Task: A DMD Application,
InVehicle22(560-574).
Springer DOI 2304
Driver Monitoring Dataset. BibRef

Tüfekci, G.[Gülin], Kayabasi, A.[Alper], Akagündüz, E.[Erdem], Ulusoy, I.[Ilkay],
Detecting Driver Drowsiness as an Anomaly Using Lstm Autoencoders,
InVehicle22(549-559).
Springer DOI 2304
BibRef

Banerjee, S.[Sandipan], Joshi, A.[Ajjen], Turcot, J.[Jay], Reimer, B.[Bryan], Mishra, T.[Taniya],
Driver Glance Classification In-the-wild: Towards Generalization Across Domains and Subjects,
FG21(1-8)
IEEE DOI 2303
Training, Visualization, Costs, Face recognition, Crops, Cameras, Data models BibRef

Sharak, S.[Salem], Das, K.[Kapotaksha], Riani, K.[Kais], Abouelenien, M.[Mohamed], Burzo, M.[Mihai], Mihalcea, R.[Rada],
Contact Versus Noncontact Detection of Driver's Drowsiness,
ICPR22(967-974)
IEEE DOI 2212
Visualization, Costs, Cameras, Hardware, Planning, Reliability BibRef

Ghosh, S.[Shreya], Dhall, A.[Abhinav], Sharma, G.[Garima], Gupta, S.[Sarthak], Sebe, N.[Nicu],
Speak2Label: Using Domain Knowledge for Creating a Large Scale Driver Gaze Zone Estimation Dataset,
AVVision21(2896-2905)
IEEE DOI 2112
Pipelines, Lighting, Estimation, Convolutional neural networks, Labeling BibRef

Vijay, M.[Malaika], Vinayak, N.N.[Nandagopal Netrakanti], Nunna, M.[Maanvi], Natarajan, S.[Subramanyam],
Real-Time Driver Drowsiness Detection using Facial Action Units,
ICPR21(10113-10119)
IEEE DOI 2105
Training, Scalability, Face recognition, Pipelines, Neural networks, Mouth, Muscles, Facial Action Units, Transfer Learning, XGBoost, Convolutional Neural Networks BibRef

Andriyanov, N.[Nikita],
First Step Towards Creating a Software Package for Detecting the Dangerous States During Driver Eye Monitoring,
IMTA20(314-322).
Springer DOI 2103
BibRef

Theagarajan, R., Bhanu, B., Cruz, A.,
DeepDriver: Automated System For measuring Valence and Arousal in Car Driver Videos,
ICPR18(2546-2551)
IEEE DOI 1812
convolution, driver information systems, face recognition, feature extraction, feedforward neural nets, Logic gates BibRef

Dehzangi, O., Taherisadr, M.,
Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks*,
ICPR18(1481-1486)
IEEE DOI 1812
Feature extraction, Time-frequency analysis, Vehicles, Skin, Task analysis, Cepstrum, component, BibRef

Dehzangi, O., Masilamani, S.,
Unobtrusive Driver Drowsiness Prediction Using Driving Behavior from Vehicular Sensors,
ICPR18(3598-3603)
IEEE DOI 1812
Vehicles, Feature extraction, Wheels, Sleep, Predictive models, Sensors, Correlation, Driver Drowsiness, KSS, Correlation analysis, Classification & Regression BibRef

Tang, R.[Rui], Kim, J.H.[Jung Hyup], Parker, R.[Rebecca], Jeong, Y.J.[Yoo Joo],
Indicating Severity of Vehicle Accidents Using Pupil Diameter in a Driving Simulator Environment,
DHM18(647-656).
Springer DOI 1807
BibRef

García-García, M.[Miguel], Caplier, A.[Alice], Rombaut, M.[Michele],
Sleep Deprivation Detection for Real-Time Driver Monitoring Using Deep Learning,
ICIAR18(435-442).
Springer DOI 1807
BibRef

Jie, Z., Mahmoud, M., Stafford-Fraser, Q., Robinson, P., Dias, E., Skrypchuk, L.,
Analysis of Yawning Behaviour in Spontaneous Expressions of Drowsy Drivers,
FG18(571-576)
IEEE DOI 1806
Face, Feature extraction, Histograms, Mouth, Task analysis, Vehicles, Videos, driver drowsiness, facial expression, hand touches, yawning detection BibRef

Schwarz, A., Haurilet, M., Martinez, M., Stiefelhagen, R.,
DriveAHead: A Large-Scale Driver Head Pose Dataset,
CVVT17(1165-1174)
IEEE DOI 1709
Glass, Head, Lighting, Magnetic heads, Pose estimation, Vehicles BibRef

Reddy, B., Kim, Y.H., Yun, S., Seo, C., Jang, J.,
Real-Time Driver Drowsiness Detection for Embedded System Using Model Compression of Deep Neural Networks,
ECVW17(438-445)
IEEE DOI 1709
Brain modeling, Computational modeling, Face, Machine learning, Mouth, Real-time systems, Vehicles, Deep Learning, Driver Monitoring System, Drowsiness Detection, Knowledge Distillation, Model Compression., Real-time, Deep, Neural, Network BibRef

Yuen, K., Martin, S., Trivedi, M.M.,
On looking at faces in an automobile: Issues, algorithms and evaluation on naturalistic driving dataset,
ICPR16(2777-2782)
IEEE DOI 1705
Detectors, Face detection, Head, Lighting, Pose estimation, Training, Vehicles BibRef

Rangesh, A., Trivedi, M.M.,
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver Hands,
HumanPose18(1216-12167)
IEEE DOI 1812
Vehicles, Automation, Task analysis, Training, Wheels, Cameras BibRef

Martin, S., Rangesh, A., Ohn-Bar, E.[Eshed], Trivedi, M.M.[Mohan Manubhai],
Preparatory coordination of head, eyes and hands: Experimental study at intersections,
ICPR16(2783-2788)
IEEE DOI 1705
Data models, Feature extraction, Head, Iris, Predictive models, Radio frequency, Vehicles BibRef

Le, T.H.N., Zhu, C.C.[Chen-Chen], Zheng, Y.T.[Yu-Tong], Luu, K.[Khoa], Savvides, M.,
Robust hand detection in Vehicles,
ICPR16(573-578)
IEEE DOI 1705
Convolution, Databases, Feature extraction, Neural networks, Proposals, Robustness, Vehicles BibRef

Wu, B.F.[Bing-Fei], Chu, Y.W.[Yun-Wei], Huang, P.W.[Po-Wei], Chung, M.L.[Meng-Liang], Lin, T.M.[Tzu-Min],
A Motion Robust Remote-PPG Approach to Driver's Health State Monitoring,
CVTSV16(I: 463-476).
Springer DOI 1704
BibRef

Weng, C.H.[Ching-Hua], Lai, Y.H.[Ying-Hsiu], Lai, S.H.[Shang-Hong],
Driver Drowsiness Detection via a Hierarchical Temporal Deep Belief Network,
Drowsy16(III: 117-133).
Springer DOI 1704
BibRef

Huynh, X.P.[Xuan-Phung], Park, S.M.[Sang-Min], Kim, Y.G.[Yong-Guk],
Detection of Driver Drowsiness Using 3D Deep Neural Network and Semi-Supervised Gradient Boosting Machine,
Drowsy16(III: 134-145).
Springer DOI 1704
BibRef

Shih, T.H.[Tun-Huai], Hsu, C.T.[Chiou-Ting],
MSTN: Multistage Spatial-Temporal Network for Driver Drowsiness Detection,
Drowsy16(III: 146-153).
Springer DOI 1704
BibRef

Park, S.[Sanghyuk], Pan, F.[Fei], Kang, S.H.[Sung-Hun], Yoo, C.D.[Chang D.],
Driver Drowsiness Detection System Based on Feature Representation Learning Using Various Deep Networks,
Drowsy16(III: 154-164).
Springer DOI 1704
BibRef

Park, S.[Sangwoo], Yu, J.M.[Jong-Min], Jeon, M.[Moongu],
Learning Feature Representation for Face Verification,
AVSS17(1-6)
IEEE DOI 1806
convolution, face recognition, feature extraction, image classification, image representation, Training BibRef

Yu, J.M.[Jong-Min], Park, S.[Sangwoo], Lee, S.W.[Sang-Wook], Jeon, M.[Moongu],
Representation Learning, Scene Understanding, and Feature Fusion for Drowsiness Detection,
Drowsy16(III: 165-177).
Springer DOI 1704
BibRef

Lyu, J.[Jie], Zhang, H.[Hui], Yuan, Z.[Zejian],
Joint Shape and Local Appearance Features for Real-Time Driver Drowsiness Detection,
Drowsy16(III: 178-194).
Springer DOI 1704
BibRef

Massoz, Q., Langohr, T., Francois, C., Verly, J.G.,
The ULg multimodality drowsiness database (called DROZY) and examples of use,
WACV16(1-7)
IEEE DOI 1606
Dataset, Driver Monitoring. Cameras BibRef

Perko, R.[Roland], Schwarz, M.[Michael], Paletta, L.[Lucas],
Aggregated mapping of driver attention from matched optical flow,
ICIP14(214-218)
IEEE DOI 1502
Accuracy BibRef

Tarayan, E.[Emin], Höffken, M.[Matthias], Herta, A.S.[Andra Stefania], Kressel, U.[Ulrich],
Iris and Pupil Measurement on Low Resolution Images for Driver Observation,
ISVC14(II: 240-249).
Springer DOI 1501
BibRef

Matsuo, H.[Haruo], Sato, T.[Tomokazu], Yokoya, N.[Naokazu],
Vehicle Driver Face Detection in Various Sunlight Environments Using Composed Face Images,
ICPR14(1687-1691)
IEEE DOI 1412
Azimuth BibRef

Daniluk, M.[Michal], Rezaei, M.[Mahdi], Nicolescu, R.[Radu], Klette, R.[Reinhard],
Eye Status Based on Eyelid Detection: A Driver Assistance System,
ICCVG14(171-178).
Springer DOI 1410
BibRef

Nakamura, T., Maejima, A., Morishima, S.,
Detection of Driver's Drowsy Facial Expression,
ACPR13(749-753)
IEEE DOI 1408
cameras BibRef

Kang, H.B.[Hang-Bong],
Various Approaches for Driver and Driving Behavior Monitoring: A Review,
CVVT13(616-623)
IEEE DOI 1403
automobiles BibRef

Florea, L.[Laura], Florea, C.[Corneliu], Vranceanu, R.[Ruxandra], Vertan, C.[Constantin],
Can Your Eyes Tell Me How You Think? A Gaze Directed Estimation of the Mental Activity,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Craye, C.[Céline], Karray, F.[Fakhri],
Multi-distributions Particle Filter for Eye Tracking Inside a Vehicle,
ICIAR13(407-416).
Springer DOI 1307
BibRef

Li, X.P.[Xuan-Peng], Seignez, E., Loonis, P.,
Reliability-based driver drowsiness detection using Dempster-Shafer theory,
ICARCV12(1059-1064).
IEEE DOI 1304
BibRef

Moriyama, T.[Tsuyoshi], Abdelaziz, K.[Khiat], Shimomura, N.[Noriko],
Face analysis of aggressive moods in automobile driving using mutual subspace method,
ICPR12(2898-2901).
WWW Link. 1302
BibRef

Haruo, M.[Matsuo], Abdelaziz, K.[Khiat],
Prediction of drowsy driving by monitoring driver's behavior,
ICPR12(3390-3393).
WWW Link. 1302
BibRef

Zhao, C.H.[Chi-Hang], Zhang, B.L.[Bai-Ling], Lian, J.[Jie], He, J.[Jie], Lin, T.[Tao], Zhang, X.X.[Xiao-Xiao],
Classification of Driving Postures by Support Vector Machines,
ICIG11(926-930).
IEEE DOI 1109
BibRef

Kasukabe, T.[Toshiaki], Hiraoka, M.[Masatake], Yamamoto, O.[Osami], Yamada, M.[Muneo], Nakano, T.[Tomoaki], Yamamoto, S.[Shin], Matsuda, K.[Katsumi], Kawasumi, M.[Mikiko],
Development of System for Comprehensively Measuring Driving Ability for Elderly Safe Driving,
MVA09(443-).
PDF File. 0905
BibRef

Crespo, R.[Raúl], de Diego, I.M.[Isaac Martín], Conde, C.[Cristina], Cabello, E.[Enrique],
Detection and Tracking of Driver's Hands in Real Time,
CIARP10(212-219).
Springer DOI 1011
BibRef

Putze, F.[Felix], Jarvis, J.P.[Jan-Philip], Schultz, T.[Tanja],
Multimodal Recognition of Cognitive Workload for Multitasking in the Car,
ICPR10(3748-3751).
IEEE DOI 1008
BibRef

Vural, E.[Esra], Bartlett, M.S.[Marian S.], Littlewort, G.C.[Gwen C.], Cetin, M.[Mujdat], Ercil, A.[Aytul], Movellan, J.R.[Javier R.],
Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions,
ICPR10(3874-3877).
IEEE DOI 1008
BibRef
Earlier: A1, A4, A5, A3, A2, A6:
Drowsy Driver Detection Through Facial Movement Analysis,
CVHCI07(6-18).
Springer DOI 0710

See also Towards an Optimal Affect-Sensitive Instructional System of cognitive skills. BibRef

Scharfenberger, C.[Christian], Zelek, J.S.[John S.], Clausi, D.A.[David A.],
Robust Body-Height Estimation for Applications in Automotive Industry,
CRV12(174-181).
IEEE DOI 1207
BibRef

Fujino, T.[Tomoyuki], Ishiguro, K.[Katsuhiko], Sawada, H.[Hiroshi],
Logitboost Extension for Early Classification of Sequences,
CAIP11(I: 579-588).
Springer DOI 1109
BibRef

Ishiguro, K.[Katsuhiko], Sawada, H.[Hiroshi], Sakano, H.[Hitoshi],
Multi-class Boosting for Early Classification of Sequences,
BMVC10(xx-yy).
HTML Version. 1009
Driver behavior monitoring. BibRef

Stemberger, J.[John], Allison, R.S.[Robert S.], Schnell, T.[Thomas],
Thermal Imaging as a Way to Classify Cognitive Workload,
CRV10(231-238).
IEEE DOI 1005
Analysis of pilot to determine stress, etc. BibRef

Zhai, F.W.[Fang-Wen], Yang, Z.H.[Ze-Hong], Song, Y.X.[Yi-Xu], Ma, H.B.[Hong-Biao],
A detection model for driver's unsafe states based on real-time face-vision,
IASP10(142-145).
IEEE DOI 1004
BibRef

Zhao, S.F.[Shuan-Feng], Xu, G.H.[Guang-Hua], Tao, T.F.[Tang-Fei],
Detecting of Driver's Drowsiness Using Multiwavelet Packet Energy Spectrum,
CISP09(1-5).
IEEE DOI 0910
BibRef

Metari, S., Prel, F., Moszkowicz, T., Laurendeau, D., Teasdale, N., Beauchemin, S.,
A Computer Vision System for Analyzing and Interpreting the Cephalo-ocular Behavior of Drivers in a Simulated Driving Context,
CRV10(215-222).
IEEE DOI 1005
BibRef

Beauchemin, S.[Steven], Varcheie, P.D.Z.[Parisa Darvish Zadeh], Gagnon, L.[Langis], Laurendeau, D.[Denis], Lavallière, M.[Martin], Moszkowicz, T.[Thierry], Prel, F.[Florent], Teasdale, N.[Normand],
COBVIS-D: A Computer Vision System for Describing the Cephalo-Ocular Behavior of Drivers in a Driving Simulator,
ICIAR09(604-615).
Springer DOI 0907
BibRef

Steffens, M.[Markus], Aufderheide, D.[Dominik], Kieneke, S.[Stephan], Krybus, W.[Werner], Kohring, C.[Christine], Morton, D.[Danny],
A New Approach on Spatio-temporal Scene Analysis for Driver Observation,
ICIAR09(637-646).
Springer DOI 0907
BibRef

Ito, T.[Takafumi], Kanade, T.[Takeo],
Predicting driver operations inside vehicles,
FG08(1-6).
IEEE DOI 0809
BibRef

Wang, J.J.[Jin-Jun], Gong, Y.H.[Yi-Hong],
Recognition of multiple drivers' emotional state,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Tabrizi, Pooneh.R., Zoroofi, Reza.A.,
Open/Closed Eye Analysis for Drowsiness Detection,
IPTA08(1-7).
IEEE DOI 0811
BibRef

Devarakota, P.R.R.[Pandu Ranga-Rao], Castillo-Franco, M.[Marta], Ginhoux, R.[Romuald], Mirbach, B.[Bruno], Ottersten, B.[Bjorn],
Application of the Reeb Graph Technique to Vehicle Occupant's Head Detection in Low-resolution Range Images,
OTCBVS07(1-8).
IEEE DOI 0706
BibRef

Devarakota, P.R.R., Mirbach, B.[Bruno], Castillo-Franco, M., Ottersten, B.,
3D vision technology for occupant detection and classification,
3DIM05(72-79).
IEEE DOI 0508
BibRef

Fritzsche, M., Prestele, C., Becker, G., Castillo-Franco, M., Mirbach, B.,
Vehicle occupancy monitoring with optical range-sensors,
IVS04(90-94).
IEEE DOI 0411
BibRef

Suzuki, Y.[Yasuhiro], Yamamoto, K.[Kazuhiko], Kato, K.[Kunihito], Andoh, M.[Michinori], Kojima, S.[Shinichi],
Skin Detection by Near Infrared Multi-band for Driver Support System,
ACCV06(II:722-731).
Springer DOI 0601
BibRef

Lee, J.D.[Jiann-Der], Li, J.D.[Jiann-Der], Liu, L.C.[Li-Chang], Chen, C.M.[Chi-Ming],
A Novel Driving Pattern Recognition and Status Monitoring System,
PSIVT06(504-512).
Springer DOI 0612
BibRef

Liao, W.H.[Wen-Hui], Zhang, W.H.[Wei-Hong], Zhu, Z.W.[Zhi-Wei], Ji, Q.A.[Qi-Ang],
A Real-Time Human Stress Monitoring System Using Dynamic Bayesian Network,
VHCI05(III: 70-70).
IEEE DOI 0507
BibRef

Batista, J.P.[Jorge P.],
A Real-Time Driver Visual Attention Monitoring System,
IbPRIA05(I:200).
Springer DOI 0509
BibRef

Hammoud, R.I.[Riad I.], Wilhelm, A.[Andrew], Malawey, P.[Phillip], Witt, G.J.[Gerald J.],
Efficient Real-Time Algorithms for Eye State and Head Pose Tracking in Advanced Driver Support Systems,
CVPR05(II: 1181).
IEEE DOI 0507
BibRef

Edenborough, N., Hammoud, R.I., Harbach, A., Ingold, A., Kisacanin, B., Malawey, P., Newman, T.J., Scharenbroch, G.K., Skiver, S., Smith, M.R., Wilhelm, A., Witt, G.J., Yoder, E., Zhang, H.,
Driver State Monitor from DELPHI,
CVPR05(II: 1206-1207).
IEEE DOI 0507
Demo of system. BibRef

Farmer, M.E., Jain, A.K.,
Integrated segmentation and classification for automotive airbag suppression,
ICIP03(III: 1053-1056).
IEEE DOI 0312
BibRef

Farmer, M.E., Jain, A.K.,
Occupant classification system for automotive airbag suppression,
CVPR03(I: 756-761).
IEEE DOI 0307
BibRef

Baker, S., Matthews, I., Xiao, J., Gross, R., Ishikawa, T., Kanade, T.,
Real-Time Non-Rigid Driver Head Tracking for Driver Mental State Estimation,
CMU-RI-TR-04-10, February, 2004.
HTML Version. 0501
BibRef

Ishikawa, T., Baker, S., Matthews, I., Kanade, T.,
Passive Driver Gaze Tracking with Active Appearance Models,
CMU-RI-TR-04-08, February, 2004.
HTML Version. 0501
BibRef

Chu, J.W.[Jiang-Wei], Jin, L.S.[Li-Sheng], Guo, L.[Lie], Guo, K.[Keyou], Wang, R.B.[Rong-Ben],
Driver's eye state detecting method design based on eye geometry feature,
IVS04(357-362).
IEEE DOI 0411
BibRef

Polychronopoulos, A., Amditis, A., Bekiaris, E.,
Information data flow in AWAKE multi-sensor driver monitoring system,
IVS04(902-906).
IEEE DOI 0411
BibRef

Basset, M., Cudel, C., Georges, V., Mouhoub, S., Baujon, J.,
Automatic region of interest tracking for visual characterization of the driver's behaviour,
IVS04(335-338).
IEEE DOI 0411
BibRef

Zhu, Y.D.[You-Ding], Fujimura, K.,
Head pose estimation for driver monitoring,
IVS04(501-506).
IEEE DOI 0411
BibRef

Chu, J.W.[Jiang-Wei], Jin, L.S.[Li-Sheng], Tong, B.L.[Bing-Liang], Shi, S.M.[Shu-Ming], Wang, R.B.[Rong-Ben],
A monitoring method of driver mouth behavior based on machine vision,
IVS04(351-356).
IEEE DOI 0411
BibRef

Koyamaishi, M., Sakai, H., Fujii, T., Tanimoto, M.,
Acquisition of position and direction of in-vehicle camera for HIR system,
IVS04(848-853).
IEEE DOI 0411
Human oriented Information Restructuring. Change depending on view point. BibRef

Kato, T., Fujii, T., Tanimoto, M.,
Detection of driver's posture in the car by using far infrared camera,
IVS04(339-344).
IEEE DOI 0411
BibRef

de la Torre, F., Garcia Rubio, C.J., Martinez, E.,
Subspace eyetracking for driver warning,
ICIP03(III: 329-332).
IEEE DOI 0312
BibRef

Ji, Q.A.[Qi-Ang], Yang, X.J.[Xiao-Jie],
Real Time Visual Cues Extraction for Monitoring Driver Vigilance,
CVS01(107-124).
Springer DOI 0106
BibRef

Healey, J.A.[Jennifer A.], and Picard, R.W.[Rosalind W.],
SmartCar: Detecting Driver Stress,
ICPR00(Vol IV: 218-221).
IEEE DOI 0009

PDF File. BibRef

Santos Conde, J.E., Hillebrand, M., Teuner, A., Stevanovic, N., Iurgel, U., Hosticka, B.J.,
A Smart Airbag Solution Based on a High Speed CMOS Camera System,
ICIP99(III:930-934).
IEEE DOI BibRef 9900

Martinez, A.B., Arboleda, J.P.,
A Driver Behaviour Evaluation System,
MVA98(xx-yy). BibRef 9800

Krumm, J., Kirk, G.,
Video Occupant Detection for Airbag Deployment,
WACV98(30-35).
IEEE DOI 9809
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Driver Distraction Analysis, Driver Attention, Driver Inattention .


Last update:Mar 16, 2024 at 20:36:19