Distracted driving is one of the main causes of deaths and injuries in the world. Monitoring
driver behaviors through Driver Action Recognition (DAR) contributes significantly to …

The continuously increasing number of traffic accidents necessitates addressing distracted
driving, which is responsible for numerous fatalities. Enhancing driver behavior recognition …

Abstract Driver Monitoring Systems (DMSs) are crucial for safe hand-over actions in Level-
2+ self-driving vehicles. State-of-the-art DMSs leverage multiple sensors mounted at …

Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …

One essential issue in skeleton-based driver action recognition is that incomplete skeletons
collected from real scenes would degrade model performance. However, existing models …

Driver monitoring has become a key challenge in both computer vision and intelligent
transportation system research fields due to its high potential to save pedestrians, drivers …

Deploying drones with deep-learning capabilities for real-time object detection is a
trendsetting strategy, particularly in dynamic environments such as Intelligent Transportation …

As big data continues to rise, the fusion of information emerges as one of the primary
concerns in the fields of computer vision and intelligent transportation systems. A multi-view …

Driver distraction and inattention is recently reported to be the major factor in traffic crashes
even with the appearance of various advanced driver assistance systems. In fact, driver …