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 …

An accurate vehicle trajectory prediction model can provide self-driving vehicles with precise
information about the motion states of surrounding vehicles in mixed traffic flow …

Accurately predicting the trajectory of a vehicle is a critical capability for autonomous
vehicles (AVs). While human drivers can infer the future trajectory of other vehicles in the …

In order to improve the prediction accuracy of the future trajectory of a vehicle under the
influence of surrounding vehicles and the surrounding road environment, we propose a …

The prediction of vehicle trajectory is an important step in safe driving. The relative positions
or speeds of vehicles affect the interactions between them, which in turn produce predictions …

In order to drive safely and efficiently on public roads, autonomous vehicles will have to
understand the intentions of surrounding vehicles, and adapt their own behavior …

In the field of smart urban traffic networks, Vehicle Trajectory Prediction or VTP is a crucial
research field in the area of driving assistance and autonomous vehicles. A vehicle can be …

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 …

To ensure the safety of the road system, an autonomous vehicle should have a good
understanding of its surrounding environment. This thesis designs a framework for trajectory …

Trajectory prediction in autonomous vehicles deals with the prediction of future states of
other vehicles/traffic participants to avoid possible collisions and decide the best possible …