This repository is a curated, continuously updated list of research papers, datasets, and code related to traffic agent trajectory prediction. It serves as a comprehensive resource for researchers, engineers, and students in the field of multi-agent trajectory prediction, aiming to consolidate the latest advancements and facilitate collaboration.

How It Works

The repository organizes a vast collection of academic literature, categorizing papers by year and type (conference, journal, others). It also lists relevant datasets and provides links to associated code and project websites where available. This structured approach allows users to easily navigate and discover relevant research in the rapidly evolving field of trajectory prediction.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required. Users can browse the content directly.

Highlighted Details

• Extensive coverage of papers from 2018 to the latest publications in 2024, including major conferences like CVPR, ICCV, ECCV, ICLR, AAAI, and journals such as TITS, RAL, and TPAMI.
• Categorization includes traditional methods, specific years, related review papers, and a comprehensive list of publicly available datasets for vehicles and pedestrians.
• Many entries link directly to papers and, where available, to associated code repositories or project websites, enabling quick access to implementations and further details.
• Includes citations for the maintainers' own contributions to the field.

Maintenance & Community

The repository is maintained by Chaoneng Li and welcomes contributions via pull requests or email for adding new resources or discussions. The maintainer also expresses a desire to connect with others in the field and build a community group.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT, Apache) as it is a collection of links and information. However, the licensing of the linked papers and code is determined by their respective authors and repositories.

Limitations & Caveats

As a curated list, the repository's content is dependent on the maintainers' ongoing efforts to update and verify links. The quality and availability of linked code or datasets may vary.