Passenger counting is crucial for many applications such as vehicle scheduling and traffic
capacity assessment. However, most of the existing solutions are either high-cost, privacy …

Weather detection systems (WDS) have an indispensable role in supporting the decisions of
autonomous vehicles, especially in severe and adverse circumstances. With deep learning …

The focus of Advanced driver-assistance systems (ADAS) is extending from the vehicle and
road conditions to the driver because the driver's attention is critical to driving safety …

The eye-blink pattern is crucial for drowsy driving diagnostics, which has become an
increasingly serious social issue. However, traditional methods (eg, with EOG, camera …

Dangerous driving behaviors are the main cause of most traffic accidents, and the detection
of these behaviors is one of the extremely important researches in Intelligent Transportation …

Head motion tracking is a promising research field with vast applications in ubiquitous
human-computer interaction (HCI) scenarios. Unfortunately, solutions based on vision and …

Driver maneuver interaction learning (DMIL) refers to the classification task with the goal of
identifying different driver-vehicle maneuver interactions (eg, left/right turns). Existing …

Driver drowsiness is a significant factor in road crashes. However, existing solutions for
driver drowsiness detection have major drawbacks of requiring special hardware …

Blink detection is essential for various human-computer interaction scenarios, such as virtual
reality and driving state detection. It has gained significant attention from industry and …

Recent years have witnessed the rapid boom of mobile devices interweaving with changes
the epidemic has made to people's lives. Though a tremendous amount of novel human …