Intersections are the most accident-prone spots in the road network. In order to assist the
driver in complex urban intersection situations, an ADAS will be required not only to …

Predicting object motion behaviour is a challenging but crucial task for safe decision making
and path planning for autonomous vehicles. It is challenging in large part due to the …

While autonomous vehicles still struggle to solve challenging situations during on-road
driving, humans have long mastered the essence of driving with efficient, transferable, and …

Two-thirds of the people who buy a new car prefer to use a substitute instead of the built-in
navigation system. However, for many applications, knowledge about a user's intended …

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 …

Predicting the future motion of road participants is crucial for autonomous driving but is
extremely challenging due to staggering motion uncertainty. Recently, most motion …

For autonomous agents to successfully operate in real world, the ability to anticipate future
motions of surrounding entities in the scene can greatly enhance their safety levels since …

In this paper, we present an online two-level vehicle trajectory prediction framework for
urban autonomous driving where there are complex contextual factors, such as lane …

Automated vehicles are expected to navigate complex urban environments safely along with
several non-cooperating agents. Therefore, accurate trajectory prediction is crucial for safe …

Trajectory prediction for challenging scenarios has always been a significant problem in the
field due to the complexity of dynamic scenarios and interactions. Furthermore, there is often …