Drowsiness monitoring by steering and lane data based features under real driving conditions

European Signal Processing Conference

Volumn , Issue , 2010, Pages 209-213

  Friedrichs, Fabian ^a   Yang, Bin ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION RESULTS; CROSS-WIND; DIMENSION REDUCTION TECHNIQUES; DRIVER DROWSINESS; DRIVER MONITORING SYSTEM; DRIVING CONDITIONS; DRIVING SIMULATOR; EXTERNAL INFLUENCES; MERCEDES BENZ; ROAD BUMPS; ROAD CONDITION; STANDARD EQUIPMENTS;

AUTOMOBILE SIMULATORS; HUMAN COMPUTER INTERACTION; ROADS AND STREETS; SIGNAL PROCESSING;

BEHAVIORAL RESEARCH;

EID: 84863795222     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. T. Âkerstedt and M. Gillberg. Subjective and objective sleepiness in the active individual. International Journal of Neuroscience, 52:29-37, 1980.
2. T. Altmüller. Driver Monitoring and Drowsiness Detection by Steering Signal Analysis. PhD thesis, Universitaet der Bundeswehr München, 2007.
3. J. Batista. A drowsiness and point of attention monitoring system for driver vigilance. Proc. of the IEEE Intelligent Transp. Systems Conf., 4, no.4:702-708, 2007.
4. J. Berglund. In-vehicle prediction of truck driver sleepiness - steering related variables. Master's thesis, Lulea University of Technology, 2007.
5. Daimler. Hightech report 2/2008 - feature attention assist. 2008.
6. G. I. W. Duncker. Jeder vierte autofahrer sitztübermüdet am steuer. Technical report, Deutsche Ophthalmologische Gesellschaft e.V., 2007.
7. A. Eskandarian and A. Mortazavi. Evaluation of a smart algorithm for commercial vehicle driver drowsiness detection. In Proceedings of the IEEE Intelligent Vehicles Symposium, Istanbul, Turkey, 2007.
8. R. J. Fairbanks, S. E. Fahey, and W. W. Wierwille. Research on vehiclebased driver status/performance monitoring: Seventh semi-annual research report. Technical report, National Highway Traffic Safety Administration, 1995.
9. S. Glaser and S. Mammar. Experimental time to line crossing validation. IEEE Conference on Intelligent Transportation Systems, 8:791-796, 2005.
10. V. Hargutt. Das Liedschlussverhalten als Indikator für Aufmerksamkeits- und Müdigkeitsprozesse bei Arbeitshandlungen. PhD thesis, Univ. Würzburg, 2001.
11. L. Kanstrup. Method for detection of sleepiness - measurement of interaction between driver and vehicle. Master's thesis, University of Linköping, 2006.
12. R. R. Knipling and J.-S. Wang. Crashes and fatalities related to driver drowsiness/fatigue. Technical report, Nat.Highway Traffic Safety Administration, 1994.
13. R. R. Knipling and J. S. Wang. Revised estimates of the u.s. drowsy driver crash problem size based on general estimates system case reviews. 39th Annual Proc., Association for the Adv. of Automotive Medicine, Chicago, October, 1995.
14. R. R. Knipling and W. W. Wierwille. Vehicle-based drowsy driver detection: Current status and future prospects. 1994.
15. D. Künzel. Die Rolle von Ablenkung und Müdigkeit bei Verkehrsunfällen: Nationale und internationale Statistiken. Kuratorium für Verkehrssicherheit, 2008.
16. P. Löfgren. Identification of driver unawareness based on user interaction. Master's thesis, Institutionen f̈or systemteknik Dept. of Electrical Engineering, 2007.
17. J. M. Lyznicki, T. C. Doege, R. M. Davis, and M. A. Williams. Sleepiness, driving, and motor vehicle crashes. JAMA: Journal of the American Medical Association, 279 (23):1908-1913, 1998.
18. S. Mammarand, S. Glaser, and M. Netto. Time to line crossing for lane departure avoidance: A theoretical study and an experimental setting. IEEE Transactions on Intelligent Transportation Systems, 7 No. 2, June:226-241, 2006.
19. J. Mara. Drowsy driving and automobile crashes. NHTSC.
20. E. Martin. Breakthrough research on real-world driver behavior released. National Highway Traffic Safety Administration, 2006.
21. K. Mattsson. In-vehicle prediction of truck driver sleepiness: lane position variables. Master's thesis, Lulea University of Technology, 2007.
22. P. Pudil and F. J. Ferrii. Floating search methods for feature selection with nonmonotonic criterion functions. In In Proceedings of the Twelveth International Conference on Pattern Recognition, IAPR, pages 279-283, 1994.
23. L. A. Reyner and J. A. Horne. Early morning driver sleepiness effectiveness of 200 mg caffeine. Psychophysiology, 37:251-256, 2000.
24. A. Savitzky and M. J. E. Golay. Smoothing and differentiation of data by simplified least squares procedure. Anal. Chem. (1964), 36:1627, 1964.
25. R. Sayed. Unobtrusive drowsiness detection by neural network learning of driver steering. Proc. Institution of Mech. Engineers, 215 D:969-975, 2001.
26. E. Schmidt. Drivers misjudgement of vigilance state during prolonged monotonous daytime driving. Accident Anal.&Prevent., 41:1087-1093, 2009.
27. C. H. Schmitz. Adaptiver Spurverlassenswarner mit Fahrerabsichts- und fahrerzustandsabhngiger Warnstrategie. PhD thesis, University Karlsruhe, 2004.
28. J. S. Wang and R. R. Knipling. The role of driver inattention in crashes: New statistics from the 1995 crashworthiness data system. 40th An. Proc. Assoc. for the Adv. of Automotive Med., IA:377-392, 1996.
29. M. Welling. Fisher linear discriminant analysis. Technical report, University of Toronto, Department of Computer Science, 2005.
30. W. W. Wierwille. Research of vehicle-based driver status/performance monitoring - part iii. Technical report, 1996.