Driver Monitoring: How, When, and Why?
Вставка
- Опубліковано 27 лип 2024
- In this Video, Anaïs Halin, research scientist at the University of Liège, presents her newest paper: “Survey and Synthesis of State of the Art in Driver Monitoring”. She describes the role of driver monitoring at each of the 6 SAE levels of driving automation. She then focuses on the first step of driver monitoring and explains, by surveying and synthesizing the literature, how to characterize the state of drivers using indicators and sensors based on information from the driver, the vehicle, and the environment. Finally, Anaïs briefly describes the main challenges of driver monitoring.
00:00 Introduction
00:25 Motivation
01:23 Levels of driving automation
02:02 Driver monitoring at each level
04:27 Driver monitoring systems
05:59 Examples and challenges
07:54 Predicting the future state
08:43 Conclusion
Paper authors: Anaïs Halin, Jacques G. Verly and Marc Van Droogenbroeck.
Link to the paper: www.mdpi.com/1424-8220/21/16/...
Don’t hesitate to contact Anaïs if you have any questions about the paper or the video!
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Image Credits
SAE visual chart: SAE International
Video Credits (more or less in order of apparition)
Traffic: Video from Mike from Pexels
Driving on the phone: Video from faizan amjed from Pexels
Sleepy driver: Video from Ron Lach from Pexels
CPR: Video from Gustavo Fring from Pexels
Crash: Video from Wes Bard from UA-cam
Autonomous breaking: Video from Videvo.net
Lane centering: Video from Videvo.net
Speedometer: Beachfront Video from Videvo.net
Autonomous interface: Videezy.com
Take control of the wheel: Video from Taryn Elliott from Pexels
Fully autonomous car 360°: Video from Waimo
Relax: Video from EKATERINA BOLOVTSOVA from Pexels
Driving desert: Video from Enrique Hoyos from Pexels
Driving snow Video from Ruvim Miksanskiy from Pexels
Driving urban: Video from Kelly L from Pexels
Driving rain: Video from CLICK TV from Pexels
Dog ai: Video from Yaroslav Shuraev from Pexels
Driver from the front: Video from Ron Lach from Pexels
Environment: Video from Adailton Batista from Pexels
Drowsiness: Video from Karolina Grabowska from Pexels
Mental workload: :Video from Yaroslav Shuraev from Pexels
Distraction: Video from cottonbro from Pexels
Emotion: Video from Tima Miroshnichenko from Pexels
Drunk: Video from cottonbro from Pexels
Traffic-2: Video from George Morina from Pexels
Lane discipline 2: Video from Tom Fisk from Pexels
Heart rate: Video from Andrey Kirievskiy from Pexels
Breathing rate: Video from Michelangelo Buonarroti from Pexels
Graph AI: Video from videezy.com
Alert: Video from videezy.com
Voyance: Video from RODNAE Productions from Pexels
Imperfect: Video from Moe Magners from Pexels
Music credits
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Juno in The Space Maze - Loopop
Classic - Joakim Karud
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Thanks to Adrien Deliège for his review.
Presentation written by Anaïs Halin.
Video produced and edited by Anthony Cioppa. - Наука та технологія
Dear Anais, Thank you for excellent presentation, I want to know for Level 3 and higher What are DMS requirements, It is required to be Seat monitoring along with driver, Apart from regulation DDAW, we need state of Driver to take over within Known time
Thank you for your nice comment!
Currently, there is almost no legal requirement for DMSs. According to the European regulation, new vehicles will soon have to be equipped with DDAW systems to monitor the alertness/drowsiness and warn the driver if needed. And it should be followed by ADDW systems to monitor the distraction.
However, in my scientific paper (doi.org/10.3390/s21165558) from which the video was inspired, I give my personal perspective on the matter. And, in my opinion, we should indeed monitor the driver at Level 3 to ensure that he/she is capable of responding to a take-over-request in a timely manner, which implies that the driver should be in his/her seat in an adequate state.
Dear Anais,
I was looking for Heart rate and breathing would be ideal indicator for driver health, before you enter to odd System can decide Autonomous function can be enabled for the user or not, As risk of time for the driver to overtake driving tasks within odd is high and also when to enable AESA Automatic Emergency stop assist, so need to know if you have any information how to get such details of the driver only Camera based solutions will not help, May be Radar based would help. Your thoughts on this would be helpful.