Lund University Vision, Radio, and Audio (LuViRA) Dataset

LuViRA数据集是由瑞典隆德大学开发的多感官同步数据集，旨在实现精确和稳健的室内定位。该数据集包含彩色图像、深度图、惯性测量单元(IMU)读数、5G大规模多输入多输出(MIMO)测试床与用户设备之间的信道响应、12个麦克风录制的音频以及精确的六自由度(6DOF)姿态地面实况。数据集通过同步所有传感器确保数据记录的同步性，适用于单独或联合使用不同传感器进行定位任务的研究。此外，数据集还可用于信道估计、图像分类等其他研究领域，旨在通过传感器融合技术解决室内环境中的定位问题。

The LuViRA dataset is a multi-sensory synchronized dataset developed by Lund University in Sweden, aiming to enable accurate and robust indoor positioning. This dataset includes color images, depth maps, inertial measurement unit (IMU) readings, channel responses between the 5G massive multiple-input multiple-output (MIMO) testbed and user equipment, audio recordings from 12 microphones, and precise six-degree-of-freedom (6DOF) pose ground truth. The dataset ensures synchronized data recordings by synchronizing all sensors, and is suitable for research on positioning tasks that use different sensors either individually or in combination. In addition, the dataset can also be utilized in other research fields such as channel estimation and image classification, and is intended to solve indoor positioning problems through sensor fusion technology.