In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …

Currently, autonomous vehicles (AVs) have gained considerable research interest in motion
planning (MP) to control driving. Deep learning (DL) is a subset of machine learning …

Autonomous driving is considered one of the revolutionary technologies sha** humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

Abnormal driving behavior is one of the main causes of roadway collisions. In most studies
of abnormal driving behavior, the abnormal driving status is detected and analyzed using …

Accurate recognition of driver distraction is significant for the design of human-machine
cooperation driving systems. Existing studies mainly focus on classifying varied distracted …

Driver anomaly quantification is a fundamental capability to support human-centric driving
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …

Connected autonomous vehicles (CAVs) are revolutionizing the development of
transportation due to their potential to improve transportation performance in many ways …

Abstract Weakly Supervised Video Anomaly Detection (WSVAD) plays a crucial role in
visual surveillance by effectively distinguishing anomalies from normality with only video …

To facilitate efficient transportation, I-4 Express is constructed separately from general use
lanes in metropolitan area to improve mobility and reduce congestion. As this new …

Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting
changes in light intensity on a per-pixel basis. This unique technology offers numerous …