# STF-Spatial-Temporal-Fusion-for-Trajectory-Prediction

**Repository Path**: duguxt/STF-Spatial-Temporal-Fusion-for-Trajectory-Prediction

## Basic Information

- **Project Name**: STF-Spatial-Temporal-Fusion-for-Trajectory-Prediction
- **Description**: sdadsadasdasdsa
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-03-21
- **Last Updated**: 2025-03-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# STF-Spatial-Temporal-Fusion-for-Trajectory-Prediction
code of paper "STF: Spatial Temporal Fusion for Trajectory Prediction"
This repo is based on the awesome work:
[GRIP++](https://github.com/xincoder/GRIP/tree/master)

## Running
To execute the code in main.py, first run data_process.py to generate a new dataset.
## dataset 
The raw apollo dataset can be downloaded at the [apolloscape.auto](https://apolloscape.auto/trajectory.html)
or [ApolloScapeAuto/dataset-api](https://github.com/ApolloScapeAuto/dataset-api/tree/master/trajectory_prediction)
## Citation

If you find STF paper useful in your research or applications, please kindly cite:
```tex
@article{han2023stf,
  title={STF: Spatial Temporal Fusion for Trajectory Prediction},
  author={Han, Pengqian and Roop, Partha and Liu, Jiamou and Bao, Tianzhe and Wang, Yifei},
  journal={arXiv preprint arXiv:2311.18149},
  year={2023}
}
```