Learning Cooperative Trajectory Representations for Motion Forecasting

Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Yingjuan Tang, Zaiqing Nie

Paper

Introduction

This is the project repository for V2X-Graph and V2X-Traj.

V2X-Graph is the first interpretable and end-to-end learning framework for cooperative motion forecasting. It is a SOTA method on V2X-Seq.

V2X-Traj is the first real-world vehicle-to-everything (V2X) motion forecasting dataset.

The code and data will be released once the paper is accepted.

Citation

Please use the following citation if you find our repo or our paper useful:

@article{ruan2023learning,
title={Learning Cooperative Trajectory Representations for Motion Forecasting}, 
author={Hongzhi Ruan and Haibao Yu and Wenxian Yang and Siqi Fan and Yingjuan Tang and Zaiqing Nie},
journal={arXiv preprint arXiv:2311.00371},
year={2023},
}