Results 231 to 240 of about 56,380 (293)

Driver Fatigue Detection

2020 IEEE 17th India Council International Conference (INDICON), 2020
Lately driver drowsiness is the many reasons for vehicle mishaps on the earth. A method of estimating drivers drowsiness is estimating the condition of the driver as an example tiredness. This methodology is totally non-intrusive which doesn't affect the driver in any way, giving the specific state of the driver.
Impana Girish   +3 more
openaire   +1 more source

Driver fatigue detection system

2016 IEEE International Conference on Signal and Image Processing (ICSIP), 2016
The research aims to detect the onset of drowsiness in drivers, while the vehicle is in motion. Detection is done by continuously looking out for symptoms of drowsiness, while considering both physiological and physical signs. Physiological factors include core body temperature and pulse rate.
Yogesh Chellappa   +2 more
openaire   +1 more source

Nonintrusive Driver Fatigue Detection

2008 IEEE International Conference on Networking, Sensing and Control, 2008
Driver fatigue is an important factor in many transportation accidents. Therefore, detecting driver fatigue is extremely important to improving transportation safety. When a driver fatigues, he will take many special visual cues on his face. In this paper, we combine visual cues from mouths and eyes systematically which characterize eye closed and ...
Xiao Fan, Baocai Yin, Yanfeng Sun
openaire   +1 more source

Driver fatigue detection system

2008 IEEE International Conference on Robotics and Biomimetics, 2009
This paper presents a method for detecting the early signs of fatigue/drowsiness during driving. Analysing some biological and environmental variables, it is possible to detect the loss of alertness prior to the driver falling asleep. As a result of this analysis, the system will determine if the subject is able to drive.
E. Rogado   +4 more
openaire   +1 more source

Driver fatigue detection system

2015 International Conference on Information Processing (ICIP), 2015
Drowsiness detection system is based on identifying suitable driver-related and/or vehicle related variables that are correlated to the drivers level of drowsiness. International statistics shows that a large number of road accidents are caused by driver fatigue.
F. S. C. Clement   +2 more
openaire   +1 more source

Driver fatigue detection : A survey

AFRICON 2009, 2009
Driver fatigue is among the most common causes for serious road accidents around the world. This is particularly evident in the transportation industry, where a driver of a heavy vehicle is often exposed to hours of monotonous driving which can result in fatigue without frequent rest periods.
R.C. Coetzer, G.P. Hancke
openaire   +1 more source

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