Distracted or drowsy driving is unsafe driving behavior responsible for thousands of crashes
every year. Studying driver behavior has challenges associated with observing drivers in …

For decades, road crashes have caused many deaths and injuries and generally have had a
severe social and economic impact on societies. According to studies, driver distraction has …

Driver behavior recognition is crucial for traffic safety in intelligent transportation systems. To
understand the driver distraction behavior, deep learning methods has been used to learn …

The Convolutional Neural Network (CNN) has demonstrated excellent performance in
image recognition and has brought new opportunities for sign language recognition …

Driver behavior recognition has become one of the most important tasks for intelligent
vehicles. This task, however, is very challenging since the background contents in real-world …

Drivers still play an important role in driving safety despite the presence of driverless
vehicles. Over the last few years, millions of deaths are due to traffic accidents, and more …

Driver distraction is a major cause of road accidents. Distracting activities while driving
include text messaging and talking on the phone. In this paper, we propose a robust driver …

Driver behavior is an essential factor affecting traffic safety, and driver behavior monitoring
systems (DMSs) are widely exploited in intelligent transportation systems to reduce the risk …

Over the last decade, a driver's distraction has gained popularity due to its increased
significance and high impact on road accidents. Various factors, such as mood disorder …

Vehicle driver distraction is one of the major reasons for road accidents. Involvement with a
co-passenger, use of in-vehicle devices or phone leads to a situation where the driver head …