Zobrazeno 1 - 10
of 751
pro vyhledávání: '"driver drowsiness"'
Publikováno v:
Journal of Applied Science and Engineering, Vol 27, Iss 7, Pp 2869-2881 (2024)
Driver drowsiness can cause serious harm to drivers and other road participants. Exploring objective and efficient methods for detecting driver drowsiness has important application value for ensuring road safety. Considering the information complemen
Externí odkaz:
https://doaj.org/article/f83cc343c7de4976a9684ffceaeb7d0a
Publikováno v:
IEEE Access, Vol 12, Pp 64765-64778 (2024)
Driver drowsiness detection is a critical field of research within automotive safety, aimed at identifying signs of fatigue in drivers to prevent accidents. Drowsiness impairs a driver’s reaction time, decision-making ability, and overall alertness
Externí odkaz:
https://doaj.org/article/76a978e5ee164a09ad507f1c7fd84958
Publikováno v:
IEEE Access, Vol 12, Pp 45709-45726 (2024)
In today’s analysis of traffic accident reports it becomes evident that most driving accidents result from driver drowsiness, fatigue, and lack of alertness. At these moments, drivers cannot react quickly to such changes in their state. Characteris
Externí odkaz:
https://doaj.org/article/ae5493263f464eac918da31942d5bb8b
Publikováno v:
AIMS Mathematics, Vol 9, Iss 2, Pp 3211-3234 (2024)
Driver drowsiness is one of the leading causes of road accidents resulting in serious physical injuries, fatalities, and substantial economic losses. A sophisticated Driver Drowsiness Detection (DDD) system can alert the driver in case of abnormal be
Externí odkaz:
https://doaj.org/article/3a436cf0f0ea4a37b8b95937bd918e31
Autor:
Eduardo Quiles-Cucarella, Julio Cano-Bernet, Lucas Santos-Fernández, Carlos Roldán-Blay, Carlos Roldán-Porta
Publikováno v:
Sensors, Vol 24, Iss 17, p 5683 (2024)
It is estimated that 10% to 20% of road accidents are related to fatigue, with accidents caused by drowsiness up to twice as deadly as those caused by other factors. In order to reduce these numbers, strategies such as advertising campaigns, the impl
Externí odkaz:
https://doaj.org/article/3c08d666fcbd410b826b52f0cd6650c5
Publikováno v:
Malaysian Journal of Computing, Vol 8, Iss 1, Pp 1375-1387 (2023)
Driver drowsiness or fatigue is a significant factor that causes road accidents each year and considerably affects road safety. According to the World Health Organization (WHO), drowsy driving may contribute to approximately 6% of fatal and severe ro
Externí odkaz:
https://doaj.org/article/894343cf6d69468dbdcd381a2ba615df
Publikováno v:
Engineering Proceedings, Vol 56, Iss 1, p 338 (2024)
Drowsiness driving poses a significant risk to road safety, necessitating effective drowsiness detection models. Most of the prior research has primarily relied on composite facial-based features, mainly focusing on the mouth and/or eye states, to id
Externí odkaz:
https://doaj.org/article/cc3c29781ba94fc881169ceeb1fe4995
Autor:
ZAINAB ABBOOD, Janan Farag Yonan
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 4, Iss 4 (2023)
Driver fatigue and lethargy are widely acknowledged as significant contributors to the occurrence of vehicular accidents. During the preceding decade, there were a total of 66,000 motor vehicle accidents, resulting in 22,952 fatalities and 79,545 inj
Externí odkaz:
https://doaj.org/article/d0e1c5754e7244a082fb4d8f0d22ea8a
Publikováno v:
IEEE Access, Vol 11, Pp 14385-14397 (2023)
The exponential growth in road accidents has led to a need for continuous driver monitoring to enhance road safety. Existing techniques rely on vehicle sensor-based and behavior analysis-based approaches, where the behavior analysis-based approaches
Externí odkaz:
https://doaj.org/article/ecbce90edf52413cac3c1bd6ca0dc383
Publikováno v:
Journal of Engineering Research - Egypt, Vol 6, Iss 3, Pp 59-70 (2022)
Abstract: The development of neural networks and machine learning techniques has recently been the cornerstone for many applications of artificial intelligence. These applications are now found in practically all aspects of our daily life. Predicting
Externí odkaz:
https://doaj.org/article/f7394cd0a8544eb9b483a3fb7b9b2daf