Multimodal-Wireless

A Large-Scale Open-Source Dataset for Multimodal Sensing and Communication Research

What is Multimodal-Wireless?

A large-scale open-source dataset for multimodal sensing and communication research.
Generated through an integrated and customizable data pipeline built upon the CARLA simulator and Sionna framework, the dataset features:

✦ 161,400 frames collected across 4 virtual towns, 16 communication scenarios, and 3 weather conditions, encompassing multiple sensing modalities—communication channel, LiDAR, RGB and depth cameras, IMU, and radar.
✦ 100 Hz sampled channel for diverse applications, along with 100 Hz oversampled, temporal aligned sensor data which can be easily downsampled for practical usage.
✦ All-weather resilience by design.
✦ Full flexibility and extensibility by simply modifying a configuration file.
✦ A unified resource for vehicle-to-everything (V2X) communication and perception.

Multimodal Data Involved

Channel

LiDAR

Depth Map

GNSS

RGB

Radar

Bounding Box

IMU

License and Citation

This dataset is licensed under the Creative Commons Attribution 4.0 International License.

If the Multimodal-Wireless Dataset is helpful for your research, please kindly cite：

@article{mao2025mmw,
title = {Multimodal-Wireless: A Large-Scale Dataset for Sensing and Communication},
author={Tianhao Mao and Le Liang and Jie Yang and Hao Ye and Shi Jin and Geoffrey Ye Li},
journal={arXiv preprint arXiv:2511.03220},
year={2025}
}