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 …

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

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 …

The increasing accessibility of mobility datasets has enabled research in green mobility,
road safety, vehicular automation, and transportation planning and optimization. Many …

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 …

为全面了解网联自动驾驶交通安全领域的研究进展, 利用文献计量方法通过Web of Science
核心数据库对Connected and Automated (Autonomous) Vehicles, Connected (Autonomous) …

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 …

Autonomous Vehicles (AVs) exchange real-time and seamless data between other AVs and
the network, thus revolutionizing the Intelligent Transportation System (ITS). Automated …

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