Predicting future trajectories of surrounding vehicles accurately benefits the decision-making
and motion-planning of autonomous vehicles (AVs). Physical-model-based prediction …

Vehicle trajectory prediction helps automated vehicles and advanced driver-assistance
systems have a better understanding of traffic environment and perform tasks such as …

In mixed and dynamic traffic environments, accurate long-term trajectory forecasting of
surrounding vehicles is one of the indispensable preconditions for autonomous vehicles to …

Vehicle trajectory prediction is a crucial but intricate problem for lateral driving assistance
systems because of driver uncertainty. This article presents a probabilistic vehicle-trajectory …

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 …

Long-term vehicular motion prediction is a crucial function for both autonomous driving and
advanced driver-assistant systems. However, due to the uncertainties of vehicle dynamics …

We consider the problem of predicting the motion of vehicles in the surrounding of an
autonomous car, for improved motion planning in lane-based driving scenarios without inter …

Accurate and efficient prediction of the future trajectories of surrounding vehicles is of utmost
importance in motion planning for autonomous driving. The ability to predict longer-term …

Purpose For autonomous vehicles, trajectory prediction of surrounding vehicles is beneficial
to improving the situational awareness of dynamic and stochastic traffic environments, which …

Safety is the cornerstone of autonomous driving vehicles. For autonomously controlled
vehicles driving safely in complex and dynamic traffic scenarios, it is essential to precisely …