Lane change trajectory prediction is crucial for autonomous vehicles (AVs) to assess their
own driving safety in advance. However, there are significant uncertainties in the …

It is essential for autonomous driving cars to understand and predict other surrounding cars'
behaviors, especially in urban environments, due to the high traffic volumes and complex …

In the future complex intelligent transportation environments, lane-changing behavior of
surrounding vehicles is a significant factor affecting the driving safety. It is necessary to …

Lane change for automated vehicles (AVs) is an important but challenging task in complex
dynamic traffic environments. Due to difficulties in guaranteeing safety as well as a high …

Predicting lane change maneuvers is critical for autonomous vehicles and traffic
management as lane change may cause conflict in traffic flow. Most existing studies do not …

Lane change for autonomous vehicles (AVs) is an important but challenging task in complex
dynamic traffic environments. Due to difficulties in guarantee safety as well as a high …

The prediction of lane‐change behavior is a challenging issue in intelligent and connected
vehicles (ICVs), which can help vehicles predict in advance and change lanes safely. In this …

The trajectory prediction of surrounding vehicles is the basis for reasonable decision-making
of autonomous vehicles (AV), which is helpful for improving their safety and comfort. Aiming …

Innovative technologies and naturalistic driving data sources provide a great potential to
develop reliable autonomous driving systems. Understanding the behaviors of surrounding …

Predicting lane-changing intentions has long been a very active area of research in the
autonomous driving community. However, most of the literature has focused on individual …