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 …

Urban intersections are prone to delays and inefficiencies due to static precedence rules
and occlusions limiting the view on prioritized traffic. Existing approaches to improve traffic …

Planning for autonomous driving in complex, urban scenarios requires accurate prediction
of the trajectories of surrounding traffic participants. Their future behavior depends on their …

How to make precise multi-agent trajectory prediction is a crucial problem in the context of
autonomous driving. It is significant to have the ability to predict surrounding road …

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

Knowledge of an automobile driver's intended actions (eg, to turn, change lanes, etc.) could
facilitate the integration of intelligent vehicle systems with the driver. The actions can be …

Lane keeping and lane change are the most general behaviors in highway driving. It's
crucial to predict the intention and trajectory of surrounding vehicles accurately as it can help …

This paper addresses the trajectory planning problem for autonomous vehicles in traffic. We
build a stochastic Markov decision process (MDP) model to represent the behaviors of the …

Today the automotive industry faces a robust trend toward assisted and automated driving.
The technology to accomplish this ambition has evolved rapidly over the last few years, and …

To navigate a complex urban environment, it is essential for autonomous vehicles to make
educated assumptions and accurate predictions of the movement of other traffic agents …