3D imaging from multipath temporal echoes

The dataset contains 3 datasets: - One labelled 'simulated' - One labelled 'RF' (radio frequency) - One labelled 'acoustic' All 3 datasets consist of signals reflected off of an enclosed scene, and measured in the temporal domain with no spatial structure in the measurement, as well as a corresponding 3D image. The simulated data was generated using a computer simulation. The RF and acoustic data were experimentally measured. These datasets each contained temporal signals of a participant in their residential rooms, as well as simultaneous 3D images of the participant and room. To gather temporal data, one participant was subjected to sound waves, while the second was illuminated with radio frequency (RF) waves. Neither radiation poses any danger to humans, on account of the low power used. The sonic and RF waves reflected off the targets and the surrounding environment, and were detected using a microphone and a RADAR system respectively. To gather 3D images, the participants were simultaneously imaged using a LiDAR system. The dataset contains additional machine learning code used to infer the 3D images of the scene from the corresponding sonic, RF and simulated data. Finally, the dataset contains the figures and videos used in the corresponding journal article '3D imaging from multipath temporal echoes'. The purpose of the dataset is to give the public open access to the research data in said publication.

本数据集包含3个子数据集，分别标记为“simulated（仿真）”、“RF（射频，radio frequency）”以及“acoustic（声学）”。三类子数据集均包含从封闭场景反射的信号，其时域测量过程未引入空间结构，同时附带对应的三维图像。其中仿真数据集通过计算机仿真生成，RF与声学数据集均为实验实测获取。每类数据集均包含受试者在其住宅房间内采集的时域信号，以及受试者与房间的同步三维图像。时域数据采集阶段，第一位受试者接受声波照射，第二位受试者则接收射频（RF）波照射。由于所用辐射功率极低，二者均不会对人体造成危害。声波与射频波经目标物体及周围环境反射后，分别通过麦克风与雷达（RADAR）系统完成检测。三维图像采集阶段，同步使用激光雷达（LiDAR）系统对受试者进行成像。本数据集还附带了用于从对应声学、RF及仿真数据中推断场景三维图像的机器学习代码。此外，数据集包含对应期刊论文《多路径时域回波三维成像（3D imaging from multipath temporal echoes）》中所用的图表与视频素材。本数据集旨在向公众开放该期刊论文对应的研究数据。