This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Driver Lane Change Prediction Using Physiological Measures
Journal Article
2015-01-1403
ISSN: 2327-5626, e-ISSN: 2327-5634
Sector:
Citation:
Murphey, Y., Kochhar, D., Watta, P., Wang, X. et al., "Driver Lane Change Prediction Using Physiological Measures," SAE Int. J. Trans. Safety 3(2):118-125, 2015, https://doi.org/10.4271/2015-01-1403.
Language:
English
References
- Traffic Safety Facts 2012 A Compilation of Motor Vehicle Crash Data from the Fatality Analysis Reporting System and the General Estimates System National Highway Traffic Safety Administration DOT HS
- Assessment of the use of light vehicle safety application for transit U.S. Department of Transportation FHWAJPO-12-088 Sep. 2012
- Sun , Feng-Tso ; Kuo C. ; Cheng , Heng-Tze ; Buthpitiya , S. ; Collins , P. ; Griss , M. Activity-aware Mental Stress Detection using Physiological Sensors Mobile Computing, Applications, and Services 211 230 Springer Berlin Heidelberg 76 2012
- Laufs H. , Krakow K. , Sterzer P. , Eger E. , Beyerle A. , Salek-Haddadi A , Kleinschmidt A. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest Proceedings of the National Academy of Sciences 100 19 2003 11053 11058
- Mulert C. , Jäger L. , Schmitt R. , Bussfeld P. , Pogarell O. , Möller H.J. , Juckel G. , Hegerl U. Integration of fMRI and simultaneous EEG: towards a comprehensive understanding of localization and time-course of brain activity in target detection Neuroimage 22 1 2004 83 94
- Curran , E.A. , Stokes M.J. Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems Brain and Cognition 51 3 2003 326 336
- Patterson , J.C. II , Ungerleider L.G. , Bandettini P. A. Task-independent functional brain activity correlation with skin conductance changes: an fMRI study Neuroimage 17 4 2002 1797 1806
- Matousek M. , Volavka J. , Roubicek J. , Chamrád V. The autocorrelation and frequency analysis of the EEG compared with GSR at different levels of activation Brain Research 15 2 1969 507 514
- Nagai Y. , Critchley H.D. , Featherstone E. , Trimble M R , Dolan R J. Activity in ventromedial prefrontal cortex covaries with sympathetic skin conductance level: a physiological account of a ‘default mode’ of brain function Neuroimage 22 1 2004 243 251
- Lin , D. C. , Sharif A. Common multifractality in the heart rate variability and brain activity of healthy humans Chaos: An Interdisciplinary Journal of Nonlinear Science 20 2 2010 023121
- Patel , M. , Lal S.K. , Kavanagh D , Rossiter P. Applying neural network analysis on heart rate variability data to assess driver fatigue Expert Systems with Applications 38 6 2011 7235 7242
- Wakasugi , T. A study on warning timing for lane change decision aid systems based on driver's lane change maneuver Proc. 19th International Technical Conference on the Enhanced Safety of Vehicles June 2005
- Wang , Jing-Shiarn ; Knipling R.R. Lane change/merge crashes: problem size assessment and statistical description US Department of Transportation, National Highway Traffic Safety Administration 1994
- Polychronopoulos , A , Koutsimanis C. , Tsogas M. , Amditis A. Prediction of unintentional lane departure using evidence theory Information Fusion , 2005 8th International Conference on 2 8 IEEE 2005
- McCall , Joel C. , Wipf D.P. , Trivedi M. , and Rao , B.D. Lane change intent analysis using robust operators and sparse Bayesian learning Intelligent Transportation Systems, IEEE Transactions on 8 3 2007 431 440
- Risack , R. , Mohler N , Enkelmann W. A video-based lane keeping assistant Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE 356 361 IEEE 2000
- Fardi , B. , Scheunert U. , Cramer H. , Wanielik G. A new approach for lane departure identification Intelligent Vehicles Symposium, 2003. Proceedings. IEEE 100 105 IEEE 2003
- Dogan , U , Hannes E , and Ioannis I. Towards a driver model: Preliminary study of lane change behavior Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on 931 937 IEEE 2008
- Toledo-Moreo , R. , Zamora-Izquierdo , M.A. IMM-Based Lane-Change Prediction in Highways with Low-Cost GPS/INS Intelligent Transportation Systems, IEEE Transactions: 10 1 2009 180 185
- Tomar R.S. , Verma S. , Tomar G.S. Prediction of Lane Change Trajectories through Neural Network Computational Intelligence and Communication Networks (CICN), 2010 International Conference; 249 253 IEEE 2010
- Morris B. , Doshi A. , Trivedi M. Lane Change Intent Prediction for Driver Assistance: Design and On-Road Evaluation Intelligent Vehicles Symposium (IV), 2011 IEEE 895 901 IEEE 2011
- Kasper D. , Weidl G. , Thao D. , Breuel G. , Tamke A. , Rosenstiel , W. Object-oriented Bayesian networks for detection of lane change maneuvers Intelligent Transportation Systems Magazine, IEEE 4 3 2012 19 31
- Tomar , R S , and Verma S. Neural Network Based Lane Change Trajectory Prediction in Autonomous Vehicles Transactions on Computational Science 01/2011 13 125 146 Springer Berlin Heidelberg 2011
- Mandalia , H , Salvucci D. Using Support Vector Machines for Lane-Change Detection Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49 22 1965 1969 SAGE Publications 2005
- Salvucci , D. Inferring driver intent: A case study in lane-change detection Proceedings of the Human Factors and Ergonomics Society Annual Meeting 48 19 2228 2231 SAGE Publications 2004
- Granger , C. Some Recent Developments in a Cause of Causality Journal of Econometrics 39 1-2 199 211 1988
- Sun , Feng-Tso , Kuo C. , Cheng Heng-Tze , Buthpitiya S. , Collins P. , and Griss M. Activity-aware mental stress detection using physiological sensors Mobile Computing, Applications and Services 211 230 Springer Berlin Heidelberg 2012
- Vivonoetics VivoSense User Manual - Core Module Version 2.3 San Diego Office 3231 Huerfano Court, San Diego, CA 92117 3630
- Sen , B. , Smith J.D. , and Najm , W. G. Analysis of Lane Change Crashes DOT HS-809 571 March 2003
- Salvucci D.D. , Boer E.R. , Liu , A. Toward an Integrated Model of Driver Behavior in Cognitive Architecture Transportation Research Record 1779: Journal of the Transportation Research Board 2001 9 16
- Martin , R , Zhang J , Liu C. Dempster-Shafer Theory and Statistical Inference with Weak Beliefs Statistical Science 25 1 2010 72 87
- Liu R. , Xu S. , Fang C. , Yung-wen Liu , Murphey Y.L. , Kochhar , D.S. Statistical Modeling and Signal Selection in Multivariate Time Series Pattern Classification IEEE 21 st International Conference on Pattern Recognition Tokyo, Japan 11-15 Nov 2012 2853 56
- Murphey , Y. , Kochhar , D. , Chen , F. , Huang , Y. et al. A Transportable Instrumentation Package for In-Vehicle On-Road Data Collection for Driver Research SAE Technical Paper 2013-01-0202 2013 10.4271/2013-01-0202