jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction
A curated list of state-of-the-art research papers, datasets, and code implementations for interaction-aware trajectory prediction in autonomous driving.

This repository aggregates academic materials on trajectory prediction, focusing on deep learning approaches for human and vehicle trajectory forecasting in multi-agent scenarios. It catalogs papers published at major AI/ML venues (NeurIPS, IROS), associated datasets, and open-source implementations. The maintainers from Stanford and UC Berkeley contributed foundational work in probabilistic trajectory prediction using generative neural systems.