Visual-Manual Distraction Detection Using Driving Performance Indicators With Naturalistic Driving Data
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Ilya V. Kolmanovsky | Xiang Yin | Shan Bao | Zhaojian Li | I. Kolmanovsky | Zhaojian Li | Xiang Yin | S. Bao
[1] Errol R. Hoffmann,et al. Analysis of Drivers' Control Movements , 1971 .
[2] Bor-Shong Liu,et al. In-vehicle workload assessment: effects of traffic situations and cellular telephone use. , 2006, Journal of safety research.
[3] Gábor Orosz,et al. Connected cruise control: modelling, delay effects, and nonlinear behaviour , 2016 .
[4] Nhien-An Le-Khac,et al. Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks , 2016, FDSE.
[5] Harry Zhang,et al. Identification of Real-Time Diagnostic Measures of Visual Distraction With an Automatic Eye-Tracking System , 2006, Hum. Factors.
[6] Harris Drucker,et al. Support vector machines for spam categorization , 1999, IEEE Trans. Neural Networks.
[7] Michael A. Goodrich,et al. Steering Entropy Revisited , 2017 .
[8] James R. Sayer,et al. Integrated vehicle-based safety systems field operational test final program report. , 2011 .
[9] Karel Brookhuis,et al. The relationship between distraction and driving performance: towards a test regime for in-vehicle information systems , 2005 .
[10] Chaozhe R. He,et al. Sequential parametric optimization for connected cruise control with application to fuel economy optimization , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).
[11] Johan Engström,et al. Effects of visual and cognitive load in real and simulated motorway driving , 2005 .
[12] Jie Chen,et al. Thermal behaviour prediction utilizing artificial neural networks for an open office , 2010 .
[13] Gábor Stépán,et al. Traffic jams: dynamics and control , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[14] James R. Sayer,et al. Distracted Driving Performance Measures , 2015 .
[15] I. V. Kolmanovsky,et al. Support vector machine-based determination of gasoline direct injected engine admissible operating envelope , 2002 .
[16] D Sayfeddine. Nonlinear autoregressive neural network with exogenous inputs based solution for local minimum problem of agent tracking using quadrotor , 2014 .
[17] Gábor Orosz,et al. Dynamics of Heterogeneous Connected Vehicle Systems , 2016 .
[18] Erwin R. Boer,et al. Development of a steering entropy method for evaluating driver workload , 1999 .
[19] Kyoung-jae Kim,et al. Financial time series forecasting using support vector machines , 2003, Neurocomputing.
[20] Mark A. Neerincx,et al. Attuning In-Car User Interfaces to the Momentary Cognitive Load , 2007, HCI.
[21] F. Tay,et al. Application of support vector machines in financial time series forecasting , 2001 .
[22] James Hedlund. Distracted Driving: What Research Shows and What States Can Do , 2011 .
[23] Johan A. K. Suykens,et al. Financial time series prediction using least squares support vector machines within the evidence framework , 2001, IEEE Trans. Neural Networks.
[24] S. Hua,et al. A novel method of protein secondary structure prediction with high segment overlap measure: support vector machine approach. , 2001, Journal of molecular biology.
[25] Katja Kircher,et al. Predicting visual distraction using driving performance data. , 2010, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.
[26] Ying Wang,et al. Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway , 2016, IEEE Transactions on Intelligent Transportation Systems.
[27] Héctor M. Zárate-Solano,et al. Clustering and forecasting inflation expectations using the World Economic Survey: the case of the 2014 oil price shock on inflation targeting countries , 2017 .
[28] Ping-Feng Pai,et al. Predicting engine reliability by support vector machines , 2006 .
[29] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[30] Jeng-Shyang Pan,et al. Driving Behavior Analysis Based on Vehicle OBD Information and AdaBoost Algorithms , 2015 .