Driver drowsiness detection

Driver drowsiness detection, also known as driver alertness monitoring, 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.

Drowsiness can impair a driver’s mental stability, reducing their ability to make sound decisions and potentially leading to physical harm and financial losses for both the driver and passengers.

From 2024, the EU mandates drowsiness detection systems in all new vehicles to enhance road safety.

Technology

Various technologies can be used to try to detect driver drowsiness.

Steering pattern monitoring

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

Vehicle position in lane monitoring

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

Driver eye/face monitoring

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

Physiological measurement

Requires body sensors to measure parameters like brain activity, heart rate, skin conductance, heartbeat, muscle activity, head movements, among others.[citation needed]

Systems

Regulation

In European Union, regulation (EU) 2019/2144 "General Safety Regulation" introduced high level requirements for vehicle safety systems, including the driver monitoring system.

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

These high level requirements are, since 2021, fully defined in an implementing act at EU level. Outside EU, the UNECE working group "Driver Drowsiness and Distraction Warning Systems" intends to "develop draft regulatory proposals for two new UN Regulations on Driver Drowsiness and Driver Distraction to prevent crashes caused by the driver not paying attention to the driving task." (first entry of the terms of reference of the working group)

See also

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. ↑ Matam, Venkatesha Matam; Kumar RK, Hemanth. "DROWSINESS DETECTOR USING RASPBERRY PI" (PDF).
  4. ↑ "Mandatory drivers assistance systems expected to help save over 25,000 lives by 2038 - European Commission". single-market-economy.ec.europa.eu. Retrieved 2025-05-22.
  5. ↑ Sgambati, Frank, Driver Drowsiness Detection
  6. ↑ 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.
  7. ↑ 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.
  8. ↑ 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.
  9. ↑ 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.
  10. ↑ Article title Driver assistance systems
  11. ↑ "BMW model upgrade measures taking effect from the summer of 2013". BMW. 2013-06-05. Retrieved 2015-11-05.
  12. ↑ "Driver drowsiness detection". Robert Bosch GmbH. Retrieved 2015-11-05.
  13. ↑ "AFIL/LDWS (country dependent)".
  14. ↑ "AFIL/LDWS (country dependent)".
  15. ↑ DS Official (2017-03-07), DS DRIVER ATTENTION MONITORING, archived from the original on 2021-12-20, retrieved 2017-03-08
  16. ↑ "DRIVER ALERT". Archived from the original on 2011-05-13.
  17. ↑ "Driver Attention Monitor | 2017 Honda CR-V | Honda Owners Site". owners.honda.com. Retrieved 2018-03-23.
  18. ↑ "2018 Honda Accord Press Kit- Safety and Driver Assistive". owners.honda.com. Retrieved 2018-03-23.
  19. ↑ "Driver Attention Alert - Mazda i-ACTIVSENSE".
  20. ↑ "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.
  21. ↑ Mercedes-Benz's autonomous driving features dominate the industry -- and will for years
  22. ↑ "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.
  23. ↑ "Fatigue Detection". Retrieved 6 August 2014.
  24. ↑ "Volvo Cars introduces new systems for alerting tired and distracted drivers". Retrieved 28 August 2007.
  25. ↑ Coxworth, Ben (3 January 2011). "Anti Sleep Pilot detects drowsy drivers". Gizmag.
  26. ↑ "Bluetooth Headset Vigo Knows When You Are Tired Before You Do". 17 January 2014. Retrieved 20 March 2014.
  27. ↑ "COREforTech news".
  28. ↑ "Impairment Detection - National Safety Council". www.nsc.org. Retrieved 2025-05-22.
  29. ↑ "EUR-Lex - 32019R2144 - EN - EUR-Lex".
  30. ↑ "EUR-Lex - 32021R1341 - EN - EUR-Lex".
  31. ↑ "wiki.unece.org for DDADWS".