Decision-making plays a crucial role in enabling automated driving and its performance is
highly dependent on accurate motion prediction. Most existing motion prediction methods …

Motion prediction is the fundamental input for decision-making in autonomous vehicles. The
current motion prediction solutions are designed with a strong reliance on black box …

In the realm of autonomous driving, motion planning for the ego vehicle necessitates the
prediction of surrounding vehicles' motions. This prediction traditionally relies on object …

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 …

Trajectory prediction is one of the key components of the autonomous driving software stack.
Accurate prediction for the future movement of surrounding traffic participants is an important …

Predicting the trajectory of neighboring vehicles is closely related to the driving safety of
intelligent vehicles and supports driving assistance. This article proposes a dual-attention …

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

This paper proposes an interaction-aware motion-planning method for an autonomous
vehicle in uncertain multi-vehicle traffic environments. An interaction-aware motion …

In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …

Motion prediction of surrounding vehicles is one of the most important tasks handled by a
self-driving vehicle, and represents a critical step in the autonomous system necessary to …