Accurately predicting the possible behaviors of traffic participants is an essential capability
for autonomous vehicles. Since autonomous vehicles need to navigate in dynamically …

Automated Vehicles (AVs) have been receiving increasing attention as a potential highly
mechanised, intelligent, self-regulating futuristic mode of transport. AVs are predicted to …

Estimating the potential behavior of the surrounding human-driven vehicles is crucial for the
safety of autonomous vehicles in a mixed traffic flow. Recent state-of-the-art achieved …

Accurately predicting nearby agents' future trajectories is fundamental for ensuring the safety
and efficiency of autonomous driving. However, existing learning-based trajectory prediction …

Effective trajectory prediction is of great significance for the design of intelligent driving
systems. To overcome the problems of low algorithm efficiency and insufficient scenario …

Aggressive driving significantly impacts traffic safety, and heavy‐duty vehicle drivers are
more liable for causing serious crashes. This paper analyzes drivers' aggressive driving …

Predicting the intentions of other vehicles in traffic is a frequently addressed challenge in
autonomous driving. Due to the complexity and diversity of urban traffic, it is a major …