3 papers
stat.AP2024
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression
Chengyuan Zhang, Kehua Chen, Meixin Zhu +2
Learning and understanding car-following (CF) behaviors are crucial for microscopic traffic simulation. Traditional CF models, though simple, often lack generalization capabilities…
cs.LG2024
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
Yuhao Luo, Kehua Chen, Meixin Zhu
As a vital component in autonomous driving, accurate trajectory prediction effectively prevents traffic accidents and improves driving efficiency. To capture complex spatial-tempor…
cs.LG2023
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction
Kehua Chen, Xianda Chen, Zihan Yu +2
Accurate trajectory prediction is crucial for the safe and efficient operation of autonomous vehicles. The growing popularity of deep learning has led to the development of numerou…