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Contribution à l’étude du comportement aux volants des conducteurs de véhicules en situation d’urgence.

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dc.contributor.author Soulmana, Billal
dc.contributor.author Boukebbab, Salim
dc.date.accessioned 2025-01-09T14:13:31Z
dc.date.available 2025-01-09T14:13:31Z
dc.date.issued 2023
dc.identifier.uri http://depot.umc.edu.dz/handle/123456789/14480
dc.description.abstract Traffic accidents caused by a driver falling asleep at the wheel are particularly serious and often fatal, as drowsiness/fatigue seriously impairs the driver's performance, in particular his decision-making ability. Concretely, his reflexes are slowed down or even absent. This is the reason why increased drowsiness causes extremely serious accidents due to loss of control of the vehicle. To avoid this type of accident, it is necessary to detect the unexpected change in the physiological and behavioral state of the driver. In this thesis, we first made a new contribution by evaluating the effect of drowsiness and fatigue on the position of the hands while driving. Then, we proposed a program based on artificial intelligence to detect and calculate the hands on the different positions of the steering wheel automatically and quickly. Finally, we designed and implemented a reliable and mobile driver assistance system to detect driver drowsiness and yawning in real time using a Raspberry Pi microcontroller board and a webcam and some actuators. fr_FR
dc.language.iso fr fr_FR
dc.publisher Université Frères Mentouri Constantine 1 fr_FR
dc.subject G.transport: Ingénierie des Transports fr_FR
dc.subject Somnolence fr_FR
dc.subject intelligence artificielle fr_FR
dc.subject volant fr_FR
dc.subject Raspberry Pi fr_FR
dc.subject drowsiness fr_FR
dc.subject Artificial intelligence fr_FR
dc.subject Steering wheel fr_FR
dc.subject النعاس fr_FR
dc.subject الذكاء الاصطناعي fr_FR
dc.subject عجلة القيادة fr_FR
dc.subject راسبيري باي fr_FR
dc.title Contribution à l’étude du comportement aux volants des conducteurs de véhicules en situation d’urgence. fr_FR
dc.type Thesis fr_FR


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