Nowadays, smartphones can produce a synchronized (synced) stream of high-quality data, including RGB images, inertial measurements, and other data. Therefore, smartphones are becoming appealing sensor systems in the robotics community. Unfortunately, there is still the need for external supporting sensing hardware, such as a depth camera precisely synced with the smartphone sensors. In this paper, we propose a hardware-software recording system that presents a heterogeneous structure and contains a smartphone and an external depth camera for recording visual, depth, and inertial data that are mutually synchronized. The system is synced at the time and the frame levels: every RGB image frame from the smartphone camera is exposed at the same moment of time with a depth camera frame with sub-millisecond precision. We provide a method and a tool for sync performance evaluation that can be applied to any pair of depth and RGB cameras. Our system could be replicated, modified, or extended by employing our open-sourced materials.
翻译:目前,智能手机可以生成一个同步(同步)的高质量数据流,包括 RGB 图像、惯性测量和其他数据。 因此,智能手机在机器人群体中正在成为吸引人的传感器系统。 不幸的是,仍然需要外部支持的感应硬件,如深度相机,与智能手机传感器同步。 在本文中,我们提议了一个硬件软件记录系统,该系统可以显示一个异质结构,并包含智能手机和外部深度相机,用于记录视觉、深度和惯性数据,并相互同步。系统在时间和框架级别上同步:智能手机相机的每个 RGB 图像框架在同时以亚米里秒精确度的深度摄像框架曝光。我们为同步性能评估提供了方法和工具,可用于任何对深度和RGB 相机的同步性能评估。 我们的系统可以被复制、修改或通过使用我们公开源的材料加以扩展。