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.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is 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.
- Is Awesome-Interaction-Aware-Trajectory-Prediction open source?
- Yes — jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction is open source, released under the MIT license.
- What language is Awesome-Interaction-Aware-Trajectory-Prediction written in?
- jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction is primarily written in TeX.
- How popular is Awesome-Interaction-Aware-Trajectory-Prediction?
- jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction has 1.7k stars on GitHub.
- Where can I find Awesome-Interaction-Aware-Trajectory-Prediction?
- jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction is on GitHub at https://github.com/jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction.