The pedestrian trajectory prediction task is an essential component of intelligent systems. Its
applications include but are not limited to autonomous driving, robot navigation, and …

Pedestrian trajectory prediction is an important area in computer vision, with wide
applications in autonomous driving, robot path planning, and surveillance systems. The core …

Accurately tracking and predicting behaviors of surrounding objects are key prerequisites for
intelligent systems such as autonomous vehicles to achieve safe and high-quality decision …

Predicting vehicle trajectories is crucial to ensuring automated vehicle operation efficiency
and safety, particularly on congested multi-lane highways. In such dynamic environments, a …

Accurate trajectory prediction plays a key role in robot navigation. It is beneficial for planning
a collision-free and appropriate path for the autonomous robots, especially in crowded …

In recent years, the design of models for performing the trajectory prediction task, one of the
critical tasks in autonomous driving, has received great attention from researchers. However …

Intelligent construction is an important construction trend. With the growing number of
intelligent autonomous systems implemented in the construction area, understanding and …

Predicting human motion behavior in a crowd is important for many applications, ranging
from the natural navigation of autonomous vehicles to intelligent security systems of video …

Trajectory forecasting is a crucial step for autonomous vehicles and mobile robots in order to
navigate and interact safely. In order to handle the spatial interactions between objects …

It is important for autonomous vehicles to have the ability to infer the goals of other vehicles
(goal recognition), in order to safely interact with other vehicles and predict their future …