Driving under the influence of fatigue often results in uncontrollable vehicle dynamics, which causes severe and fatal accidents. Therefore, early warning on onset is crucial to avoid occurrences such kind a disaster. In this paper, authors have investigated novel semi-supervised convolutional variational autoencoder-based classification approach classify state driver. A autoencoder generative ...

Research on partially automated driving has revealed relevant problems with driving performance, particularly when drivers' intervention is required (e.g., take-over when automation fails). Mental fatigue has commonly been proposed to explain these effects after prolonged automated drives. However, performance problems have also been reported after just a few minutes of automated driving, indic...

In the area of transportation research, there is a growing need for robust and reliable measures of hypovigilance, particularly due to the current volume of research in the development and validation of Fatigue Monitoring Technologies (FMT). Most of the currently emerging FMT is vision based. The parameter Percentage of Eyelid Closure (PERCLOS) is used for the fatigue detection. The development...

Driver sleepiness is one of the most important causes traffic accidents. Efficient and stable algorithms are crucial for distinguishing nonfatigue from fatigue state. Relevance vector machine (RVM) as a leading-edge detection approach allows meeting this requirement represents potential solution state detection. To accurately effectively identify driver’s reduce number accidents caused by drive...

Driver fatigue remains a significant cause of motor-vehicle accidents worldwide. New technologies are increasingly utilised to improve road safety, but there are no effective on-road measures for fatigue. While simulated driving tasks are sensitive, and simple performance tasks have been used in industrial fatigue management systems (FMS) to quantify risk, little is known about the relationship...

Fatigue driving is an invisible killer in car accidents and one of the main causes traffic accidents. In order to reduce caused by fatigue, this research has developed a safety assist device prevent such research, non-contact driver drowsiness detection alert system established vehicle cabin. The real-time facial image obtained through camera installed front driver, then input NVIDIA Jetson TX2...

BACKGROUND Trucks represent 6% of all vehicles, but truck crashes account for 20% of road deaths in Israel, even though travel distances are usually short (<200 km) and overnight travel is uncommon. OBJECTIVE To determine occupational and individual predictors of fatigue, falling asleep at the wheel, and involvement in crashes with injuries and deaths in truck drivers. SETTING AND METHODS W...

Road traffic accidents are the leading cause of death in international travelers. With the growth of international travel, the number of visitors who rent a vehicle upon arrival at their destination by air or by sea is expected to increase. Jet lag is a well-recognized maladaptation to international travel across multiple time zones. Little is known about the possible influence of jet lag sympt...