DeepSense 6G is a real-world multi-modal dataset that comprises coexisting multi-modal sensing and communication data, such as mmWave wireless communication, Camera, GPS data, LiDAR, and Radar, collected in realistic wireless environments
The DeepSense 6G dataset is offered in different scenarios. The different scenarios cover a diverse vehicular, drone, indoor/outdoor scenarios. Each scenario consists of co-existing multi-modal sensing and communication data
For more details, please click on the link below.
DeepSense 6G enables a wide range of applications in communication, sensing, and localization.
To encourage the development of machine learning solutions for these applications and motivate benchmarking and comparisons, we define specific machine learning task.
For each DeepSense 6G-based task, we provide (i) Task definition and formulation, (ii) diverse real-world task-specific development dataset, and (iii) benchmarking scripts. For more details, please click on the link below
In order to use the DeepSense dataset/scripts or any (modified) part of them, please cite:
A. Alkhateeb, G. Charan, T. Osman, A. Hredzak, J. Morais, U. Demirhan, and N. Srinivas, “DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Datasets,” IEEE Communications Magazine, 2023.
@Article{DeepSense,
author={Alkhateeb, Ahmed and Charan, Gouranga and Osman, Tawfik and Hredzak, Andrew and Morais, Joao and Demirhan, Umut and Srinivas, Nikhil},
title={DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset},
journal={IEEE Communications Magazine},
year={2023},
publisher={IEEE}}
