pku-pcni-lab/Multi-modal_dataset_for_LiDAR-Aided_CSI_Estimation
Dataset for "Synesthesia of Machines-Enhanced Wideband Multi-User CSI Learning with LiDAR Sensing" 📌 Overview This dataset is constructed based on urban crossroad scenario from the M3SC dataset and includes CSI data between a roadside unit and three passing vehicles, as well as 64-line LiDAR point cloud data collected by the roadside devices (processed using the lightweight data processing approach proposed in the paper). The dataset contains a total of 4,500… See the full description on the dataset page: https://huggingface.co/datasets/pku-pcni-lab/Multi-modal_dataset_for_LiDAR-Aided_CSI_Estimation.
Dataset for "Synesthesia of Machines-Enhanced Wideband Multi-User CSI Learning with LiDAR Sensing"
📌 Overview
This dataset is constructed based on urban crossroad scenario from the M3SC dataset and includes CSI data between a roadside unit and three passing vehicles, as well as 64-line LiDAR point cloud data collected by the roadside devices (processed using the lightweight data processing approach proposed in the paper). The dataset contains a total of 4,500 samples, with the communication system frequency set to 28 GHz, LiDAR's FoV of 40°, and the roadside unit equipped with a 32×1 ULA array.
📜Related paper
H. Zhang, S. Gao, X. Cheng and L. Yang, "Synesthesia of Machines (SoM)-Enhanced Wideband Multi-User CSI Learning With LiDAR Sensing," IEEE Transactions on Vehicular Technology, vol. 74, no. 8, pp. 13237-13242, Aug. 2025.