Driver drowsiness detection

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Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads. [1] [2]

Contents

Some of the current systems learn driver patterns and can detect when a driver is becoming drowsy.

Technology

Various technologies can be used to try to detect driver drowsiness. [3]

Steering pattern monitoring

Primarily uses steering input from electric power steering system. Monitoring a driver this way only works as long as a driver actually steers a vehicle actively instead of using an automatic lane-keeping system. [1]

Vehicle position in lane monitoring

Uses a lane monitoring camera. Monitoring a driver this way only works as long as a driver actually steers a vehicle actively instead of using an automatic lane-keeping system. [4]

Driver eye/face monitoring

Uses computer vision to observe the driver's face, either using a built-in camera [5] or on mobile devices. [6] [7]

Physiological measurement

Requires body sensors to measure parameters like brain activity, heart rate, skin conductance, muscle activity, head movements etc...

Systems

Regulation

In European Union, regulation (EU) 2019/2144 regulates the driver monitoring system. [26]

driver drowsiness and attention warning means a system that assesses the driver’s alertness through vehicle systems analysis and warns the driver if needed

— regulation (EU) 2019/2144

Driver drowsiness and attention warning and advanced driver distraction warning systems shall be designed in such a way that those systems do not continuously record nor retain any data other than what is necessary in relation to the purposes for which they were collected or otherwise processed within the closed-loop system. Furthermore, those data shall not be accessible or made available to third parties at any time and shall be immediately deleted after processing. Those systems shall also be designed to avoid overlap and shall not prompt the driver separately and concurrently or in a confusing manner where one action triggers both systems.

— regulation (EU) 2019/2144

See also

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References

  1. 1 2 "DRIVER FATIGUE AND ROAD ACCIDENTS A LITERATURE REVIEW and POSITION PAPER" (PDF). Royal Society for the Prevention of Accidents. February 2001. Archived from the original (PDF) on 2017-03-01. Retrieved 2017-02-28.
  2. ↑ "4.1.03. Driver Drowsiness Detection System for Cars" . Retrieved 2015-11-05.
  3. ↑ Sgambati, Frank, Driver Drowsiness Detection
  4. ↑ Hupp, Stephen L. (October 1998). "Landmark Documents in American History. Version 2.0". Electronic Resources Review. 2 (10): 120–121. doi:10.1108/err.1998.2.10.120.111. ISSN   1364-5137.
  5. ↑ Walger, D.J.; Breckon, T.P.; Gaszczak, A.; Popham, T. (November 2014). "A comparison of features for regression-based driver head pose estimation under varying illumination conditions" (PDF). 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) (PDF). IEEE. pp. 1–5. doi:10.1109/IWCIM.2014.7008805. ISBN   978-1-4799-7971-4. S2CID   14928709. walger14headpose.
  6. ↑ Wijnands, J.S.; Thompson, J.; Nice, K.A.; Aschwanden, G.D.P.A.; Stevenson, M. (2019). "Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks". Neural Computing and Applications. 32 (13): 9731–9743. arXiv: 1910.06540 . Bibcode:2019arXiv191006540W. doi:10.1007/s00521-019-04506-0. S2CID   204459652.
  7. ↑ Hossain, M. Y.; George, F. P. (2018). "IOT Based Real-Time Drowsy Driving Detection System for the Prevention of Road Accidents". 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). Vol. 3. pp. 190–195. doi:10.1109/ICIIBMS.2018.8550026. ISBN   978-1-5386-7516-8. S2CID   54442702.
  8. ↑ https://www.audi-mediaservices.com/publish/ms/content/en/public/hintergrundberichte/2012/03/05/a_statement_about/driver_assistance.html Archived 2014-12-30 at the Wayback Machine Driver assistance systems
  9. ↑ "BMW model upgrade measures taking effect from the summer of 2013". BMW. 2013-06-05. Retrieved 2015-11-05.
  10. ↑ "Driver drowsiness detection". Robert Bosch GmbH . Retrieved 2015-11-05.
  11. ↑ "AFIL/LDWS (country dependent)".
  12. ↑ "AFIL/LDWS (country dependent)".
  13. ↑ DS Official (2017-03-07), DS DRIVER ATTENTION MONITORING, archived from the original on 2021-12-20, retrieved 2017-03-08
  14. ↑ "DRIVER ALERT". Archived from the original on 2011-05-13.
  15. ↑ "Driver Attention Monitor | 2017 Honda CR-V | Honda Owners Site". owners.honda.com. Retrieved 2018-03-23.
  16. ↑ "2018 Honda Accord Press Kit- Safety and Driver Assistive". owners.honda.com. Retrieved 2018-03-23.
  17. ↑ "Driver Attention Alert - Mazda i-ACTIVSENSE".
  18. ↑ "ATTENTION ASSIST: Drowsiness-detection system warns drivers to prevent them falling asleep momentarily". Archived from the original on 26 February 2012. Retrieved 18 February 2010.
  19. ↑ Mercedes-Benz's autonomous driving features dominate the industry -- and will for years
  20. ↑ "2016 Nissan Maxima "4-Door Sports Car" makes global debut at New York International Auto Show". Nissan Online Newsroom. 2 April 2015. Retrieved 4 April 2015.
  21. ↑ "Fatigue Detection" . Retrieved 6 August 2014.
  22. ↑ "Volvo Cars introduces new systems for alerting tired and distracted drivers" . Retrieved 28 August 2007.
  23. ↑ Coxworth, Ben (3 January 2011). "Anti Sleep Pilot detects drowsy drivers". Gizmag.
  24. ↑ "Bluetooth Headset Vigo Knows When You Are Tired Before You Do". 17 January 2014. Retrieved 20 March 2014.
  25. ↑ "COREforTech news".
  26. ↑ "EUR-Lex - 32019R2144 - EN - EUR-Lex".
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