jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction

A selection of state-of-the-art research materials on trajectory prediction

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Established

This resource helps researchers and engineers predict how vehicles, pedestrians, or even sport players will move next, considering their interactions with each other. It provides a structured collection of research papers, datasets, and code, allowing users to find the necessary inputs (historical movement data, environmental context) to develop or evaluate trajectory prediction models. Anyone working on systems that need to anticipate the movement of other agents in dynamic environments, such as autonomous vehicles or robotics, would find this useful.

1,665 stars. No commits in the last 6 months.

Use this if you need to research, develop, or evaluate models that predict the future paths of interacting agents like cars, people, or robots in real-world scenarios.

Not ideal if you are looking for ready-to-use software or an API for immediate trajectory prediction without engaging in research or model development.

autonomous-driving robotics human-robot-interaction motion-planning behavior-prediction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 24 / 25

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Stars

1,665

Forks

305

Language

TeX

License

MIT

Last pushed

Sep 28, 2024

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