论文标题

基于地磁惯性导航的动态传感器匹配

Dynamic Sensor Matching based on Geomagnetic Inertial Navigation

论文作者

Müller, Simone, Kranzlmüller, Dieter

论文摘要

光传感器可以捕获动态环境,并在几乎实时得出深度信息。这些数字重建的质量取决于照明,表面和纹理条件,传感速度和其他传感器特征以及传感器对象关系等因素。可以通过使用来自多个传感器的动态收集数据来获得改进。但是,匹配来自多个传感器的数据需要共享的世界坐标系。我们提出了将多传感器数据传输到常见的世界坐标系的概念:地球的磁场。我们的行星磁场的稳定存在提供了可靠的世界坐标系,它可以作为位置定义的动态环境重建的参考。使用来自立体显示的ZED 2立体声摄像机的磁场传感器评估我们的方法,该传感器相对于北极提供了方向,类似于指南针。借助惯性测量单元信息,每个相机的位置数据都可以传输到统一的世界坐标系统中。我们的评估揭示了使用地球磁场的质量水平,并为光学多传感器进行环境检测的动态和基于实时的应用提供了基础。

Optical sensors can capture dynamic environments and derive depth information in near real-time. The quality of these digital reconstructions is determined by factors like illumination, surface and texture conditions, sensing speed and other sensor characteristics as well as the sensor-object relations. Improvements can be obtained by using dynamically collected data from multiple sensors. However, matching the data from multiple sensors requires a shared world coordinate system. We present a concept for transferring multi-sensor data into a commonly referenced world coordinate system: the earth's magnetic field. The steady presence of our planetary magnetic field provides a reliable world coordinate system, which can serve as a reference for a position-defined reconstruction of dynamic environments. Our approach is evaluated using magnetic field sensors of the ZED 2 stereo camera from Stereolabs, which provides orientation relative to the North Pole similar to a compass. With the help of inertial measurement unit informations, each camera's position data can be transferred into the unified world coordinate system. Our evaluation reveals the level of quality possible using the earth magnetic field and allows a basis for dynamic and real-time-based applications of optical multi-sensors for environment detection.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源