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 …

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 …

This paper proposes a framework to recognize driving intentions and to predict driving
behaviors of lane changing on the highway by using externally sensable traffic data from the …

In the foreseeable future, connected and auto-mated vehicles (CAVs) and human-driven
vehicles will share the road networks together. In such a mixed traffic environment, CAVs …

In recent years, the expansion of internet technology and advancements in automation have
brought significant attention to autonomous driving technology. Major automobile …

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 …

Car-following is the most general behavior in highway driving. It is crucial to recognize the
cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this …

This paper describes design, vehicle implementation and validation of a motion planning
and control algorithm of autonomous driving vehicle for lane change. Autonomous lane …

In highway driving scenarios it is important for highly automated driving systems to be able
to recognize and predict the intended maneuvers of other drivers in order to make robust …