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CMP
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CMP
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## **CMP**: **C**ooperative **M**otion **P**rediction with Multi-Agent Communication [Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10908648) | [Project page](https://cmp-cooperative-prediction.github.io/) | [arXiv](https://arxiv.org/abs/2403.17916) This repository contains the official implementation of paper "CMP: Cooperative Motion Prediction with Multi-Agent Communication". ## Features  **1) Practical, Latency-robust Framework for Cooperative Motion Prediction**: our framwork integrates cooperative perception with trajectory prediction, marking a pioneering effort in the realm of connected and automated vehicles, which enables CAVs to share and fuse data from LiDAR point clouds to improve object detection, tracking, and motion prediction. **2) Attention-based Prediction Aggregation**: prediction aggregator take advantage of the predictions shared by other CAVs, which improves prediction accuracy. This mechanism is scalable and can effectively handle varying numbers of CAVs. **3) State-of-the-art Performance in cooperative prediction under practical settings on the OPV2V and V2V4Real datasets**: our framwork evaluated on both simulated V2V datasets and real world V2V scenarios, and outperforms the cooperative perception and prediction network proposed by the strongest baseline V2VNet. ## Getting Started - [Environment Setup](docs/env.md) - [Prepare Dataset and Checkpoints](docs/prepare_dataset_checkpoints.md) - [Multi-Ego Perception Eval](docs/perception_eval.md) - [Multi-Ego Prediciton Eval](docs/prediction_eval.md) - [Visualization](docs/visualization.md) ## Visualizations The visualizations of predicted trajectories (colored waypoints) and ground truth (black lines) under different model settings in different traffic scenarios. ### CMP   ### No Cooperation   ## Citation ``` @article{wang2025cmp, title={Cmp: Cooperative motion prediction with multi-agent communication}, author={Wang, Zehao and Wang, Yuping and Wu, Zhuoyuan and Ma, Hengbo and Li, Zhaowei and Qiu, Hang and Li, Jiachen}, journal={IEEE Robotics and Automation Letters}, year={2025}, publisher={IEEE} } ```