Vi-Fi Multi-modal Dataset

该数据集包含了视觉模态下的布局序列（如轨迹、边界框、深度等信息），以及移动模态下的无线传感器信号（如IMU、GPS和其他传感器信号）。此外，该数据集被用于评估所提出的方法在布局序列预测方面的性能，并被视为在视觉-运动身份关联任务中的前沿参考标准。该任务旨在从噪声移动数据中预测布局序列。

This dataset includes layout sequences in the visual modality (such as trajectories, bounding boxes, depth information and other related information), as well as wireless sensor signals in the mobile modality including IMU, GPS and other sensor signals. Furthermore, this dataset has been utilized to evaluate the performance of the proposed method in layout sequence prediction, and is regarded as a state-of-the-art reference standard for the visual-motor identity association task. This task aims to predict layout sequences from noisy mobile data.