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Dymov I. S., Derevyanko R. E., Kotin D. A.
Automation warning system against driver falling asleep in-traffic
DOI: 10.21443/1560-9278-2017-20-4-659-664
- Intellectual Control System of Operator Condition
Skachkov Artem, Tarasov Andrey, Sergey Orlov, Myratov Evgeny, Nikiforov Mikhail
2019 8th Mediterranean Conference on Embedded Computing (MECO), 2019: 1 - Vehicle Driver Condition Monitoring System Based on Electrocardiographic Signal Analysis
A. F. Nadeev, T. F. Shcherbakova, A. A. Kobyzeva, S. S. Sedov
2023 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED), 2023: 1 - Advances in Neural Computation, Machine Learning, and Cognitive Research III
Y. R. Muratov, M. B. Nikiforov, A. S. Tarasov, A. M. Skachkov
Studies in Computational Intelligence, 2020; 856: 106
Abstract. The paper is devoted to the development of a new automation recognition and warning system against driver falling asleep in-traffic. The issue of the physical condition control of professional drivers on the voyage has been considered both on the part of efficiency and quality of its determination, and in terms of improving overall road safety. The existing and widely used devices for determining the transition to the stage of sleep of drivers being in-traffic have been analyzed. Their advantages and disadvantages have been detected. It has been established that the main negative factor preventing the mass introduction of pre-existing warning systems is the need to wear one or another monitoring device before starting the movement. Carried out project research work has proposed a complex monitoring of the physical and physiological condition of driving person as a new warning method against falling asleep in-traffic. The proposed variations of algorithmic implementations can be used in long-distance trucks and passenger vehicles. Two different versions of the automatic control status of the driver physical condition have been considered. The first approach has proposed the use of sensors of the biometric parameters of body, pulsus, body temperature, and hands on wheel pressure sensors. The second one has proposed using the tracking cameras. Both for the first and second versions of the automation system a toolset of control devices is being installed inside the vehicle and have no physical, so irritating action on the driver. Software approach for the false operation rejection of the devices has been developed. The paper considers the flow diagrams of the automatic systems and logical structure of analysis and decision-making. The set of impacts intended for driver's awakening has been proposed. The conclusion about the engineering perspectives of the proposed approach of projected automation systems has been made.
Printed reference: Dymov I. S., Derevyanko R. E., Kotin D. A. Automation warning system against driver falling asleep in-traffic // Vestnik of MSTU. 2017. V. 20, No 4. P. 659-664.
Electronic reference: Dymov I. S., Derevyanko R. E., Kotin D. A. Automation warning system against driver falling asleep in-traffic // Vestnik of MSTU. 2017. V. 20, No 4. P. 659-664. URL: http://vestnik.mstu.edu.ru/v20_4_n74/01_dimov_659-664.pdf.
