CMP

KO | EN

gitlite — search

#react #typescript #go #machine-learning #deep-learning #linux #java #cli #awesome-list #pytorch #security #ios #openai #open-source

(★ 24)

No description available.

CMP Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

## **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

![](https://raw.githubusercontent.com/tasl-lab/CMP/main/docs/fig2.png)

**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

![](https://raw.githubusercontent.com/tasl-lab/CMP/main/docs/cmp1.gif)

![](https://raw.githubusercontent.com/tasl-lab/CMP/main/docs/cmp2.gif)

### No Cooperation

![](https://raw.githubusercontent.com/tasl-lab/CMP/main/docs/no_coop1.gif)

![](https://raw.githubusercontent.com/tasl-lab/CMP/main/docs/no_coop2.gif)

## 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}
}
```

CMP

CMP Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

CMP

CMP Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README