With the rapid development of autonomous driving, how to understand the behavior of
targets around autonomous driving has become an important part of the autonomous driving …

Trajectory prediction is an essential component in autonomous driving systems, as it can
forecast the future movements of surrounding vehicles, thereby enhancing the decision …

In order to make an accurate prediction of vehicle trajectory in a dynamic environment, a
Unidirectional and Bidirectional LSTM (UB‐LSTM) vehicle trajectory prediction model …

In this paper, we propose a deep learning based vehicle trajectory prediction technique
which can generate the future trajectory sequence of surrounding vehicles in real time. We …

In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …

Predicting the trajectories of surrounding vehicles is important to avoid or mitigate collision
with traffic participants. However, due to limited past information and the uncertainty in future …

Vehicle trajectory prediction plays a crucial role in ensuring the driving safety of autonomous
vehicles in complex traffic scenes. To accurately predict the trajectory of autonomous …

We propose a method to predict trajectories of surrounding vehicles using a long short-term
memory (LSTM) network. Trajectory prediction of surrounding vehicles is attracting a lot of …

Vehicle-trajectory prediction is essential for intelligent traffic systems (ITS), as it can help
autonomous vehicles to plan a safe and efficient path. However, it is still a challenging task …

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