Integrating CNNs and RNNs to capture spatiotemporal dependencies is a
pr...
Scene information plays a crucial role in trajectory forecasting systems...
Large language models (LLMs) encode a vast amount of world knowledge acq...
Predicting the future trajectories of the traffic agents is a gordian
te...
In this paper, we consider fine-grained image object detection in
resour...
Heterogeneous trajectory forecasting is critical for intelligent
transpo...
Trajectory forecasting is critical for autonomous platforms to make safe...
When we use simulation to assess the performance of stochastic systems, ...
In autonomous driving community, numerous benchmarks have been establish...
In crowd scenarios, reliable trajectory prediction of pedestrians requir...