16.7.2.6.1 Driver Monitoring, Mobile Phone Usage

Chapter Contents (Back)
Driver Monitoring. Phone Usage.

Fazeen, M., Gozick, B., Dantu, R., Bhukhiya, M., Gonzalez, M.C.,
Safe Driving Using Mobile Phones,
ITS(13), No. 3, September 2012, pp. 1462-1468.
IEEE DOI 1209
BibRef

Ferreira, A.L., Piccinini, G.F.B.[G.F. Bianchi], Rola, S., Simoes, A.,
Gender and age-related differences in the perception of in-vehicle mobile phone usage among Portuguese drivers,
IET-ITS(7), No. 2, 2013, pp. -.
DOI Link 1307
BibRef

Hancox, G., Richardson, J., Morris, A.,
Drivers' willingness to engage with their mobile phone: The influence of phone function and road demand,
IET-ITS(7), No. 2, 2013, pp. xx-yy.
DOI Link 1307
BibRef

Albert, G.[Gila], Lotan, T.[Tsippy],
How many times do young drivers actually touch their smartphone screens while driving?,
IET-ITS(12), No. 6, August 2018, pp. 414-419.
DOI Link 1807
BibRef

Billah, T., Rahman, S.M.M., Ahmad, M.O., Swamy, M.N.S.,
Recognizing Distractions for Assistive Driving by Tracking Body Parts,
CirSysVideo(29), No. 4, April 2019, pp. 1048-1062.
IEEE DOI 1904
Vehicles, Monitoring, Trajectory, Roads, Tracking, Cellular phones, Cameras, Assistive driving, distraction recognition, trajectory classification BibRef

Vollrath, M.[Mark], Huemer, A.K.[Anja Katharina], Nicolai, C.[Christin],
Young people use their smartphone all the time- even when crossing the street?,
IET-ITS(13), No. 8, August 2019, pp. 1213-1217.
DOI Link 1908
BibRef

Choudhary, P., Velaga, N.R.,
Performance Degradation During Sudden Hazardous Events: A Comparative Analysis of Use of a Phone and a Music Player During Driving,
ITS(20), No. 11, November 2019, pp. 4055-4065.
IEEE DOI 1911
Task analysis, Accidents, Vehicles, Real-time systems, Music, Degradation, Probability, Driver distraction, phone-use, reaction time BibRef

Wahlström, J., Skog, I., Händel, P., Bradley, B., Madden, S., Balakrishnan, H.,
Smartphone Placement Within Vehicles,
ITS(21), No. 2, February 2020, pp. 669-679.
IEEE DOI 2002
Vehicles, Accelerometers, Telematics, Gyroscopes, Insurance, Sensor phenomena and characterization, Telematics, kernel-based k-means clustering BibRef

Argin, G.[Gorsev], Pak, B.[Burak], Turkoglu, H.[Handan],
Between Post-Flâneur and Smartphone Zombie: Smartphone Users' Altering Visual Attention and Walking Behavior in Public Space,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Fancello, G.[Gianfranco], Adamu, M.[Marta], Serra, P.[Patrizia], Fadda, P.[Paolo],
Comparative analysis of the effects of mobile phone use on driving performance using ANOVA and ANCOVA,
IET-ITS(14), No. 9, September 2020, pp. 993-1003.
DOI Link 2008
BibRef

Saenz, H.[Humberto], Sun, H.M.[Hui-Ming], Wu, L.T.[Ling-Tao], Zhou, X.S.[Xue-Song], Yu, H.K.[Hong-Kai],
Detecting phone-related pedestrian distracted behaviours via a two-branch convolutional neural network,
IET-ITS(15), No. 1, 2021, pp. 147-158.
DOI Link 2106
BibRef

Gelmini, S.[Simone], Strada, S.C.[Silvia C.], Tanelli, M.[Mara], Savaresi, S.M.[Sergio M.], Biase, V.[Vincenzo],
Online Assessment of Driving Riskiness via Smartphone-Based Inertial Measurements,
ITS(22), No. 9, September 2021, pp. 5555-5565.
IEEE DOI 2109
Vehicles, Acceleration, Monitoring, Sensors, Insurance, Cost function, Vehicle dynamics, Driving-style, smartphone, insurance telematics, ground vehicles BibRef


Hatay, E.[Emre], Ma, J.[Jin], Sun, H.[Huiming], Fang, J.[Jianwu], Gao, Z.Q.[Zhi-Qiang], Yu, H.K.[Hong-Kai],
Learning to Detect Phone-related Pedestrian Distracted Behaviors with Synthetic Data,
JRDB21(2975-2983)
IEEE DOI 2109
Distraction applies to pedestrians also. Computational modeling, Transfer learning, Supervised learning, Games, Pattern recognition, Synchronization BibRef

Billah, T., Mahbubur Rahman, S.M.,
Tracking-based detection of driving distraction from vehicular interior video,
AVSS16(423-428)
IEEE DOI 1611
Cellular phones BibRef

Le, T.H.N.[T. Hoang Ngan], Zheng, Y.T.[Yu-Tong], Zhu, C.C.[Chen-Chen], Luu, K.[Khoa], Savvides, M.[Marios],
Multiple Scale Faster-RCNN Approach to Driver's Cell-Phone Usage and Hands on Steering Wheel Detection,
CVVT16(46-53)
IEEE DOI 1612
BibRef

Seshadri, K.[Keshav], Juefei-Xu, F.[Felix], Pal, D.K.[Dipan K.], Savvides, M.[Marios], Thor, C.P.[Craig P.],
Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos,
CVVT15(35-43)
IEEE DOI 1510
Agriculture BibRef

Chuang, M.C.[Meng-Che], Bala, R.[Raja], Bernal, E.A.[Edgar A.], Paul, P.[Peter], Burry, A.[Aaron],
Estimating Gaze Direction of Vehicle Drivers Using a Smartphone Camera,
IWMV14(165-170)
IEEE DOI 1409
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Driver Monitoring, Eyes, Gaze, Drowsiness .


Last update:Sep 19, 2021 at 21:11:01