增强现实在移动平台上的维护应用

N. S. Lakshmprabha, S. Kasderidis, Panagiotis G. Mousouliotis, L. Petrou, O. Beltramello
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引用次数: 4

摘要

姿态估计是任何增强现实(AR)应用程序的主要要求。相机和惯性测量单元(imu)不仅在AR中被用于姿态估计,而且在许多其他领域也被用于姿态估计。AR应用程序所需的精度和姿态更新水平比任何其他领域都要苛刻。在某些AR应用程序中,(例如维护)姿势的微小变化可能会导致虚拟内容渲染的巨大偏差。这会在对象位置方面误导用户,并可能显示不正确的信息。此外,基于相机的姿态估计所需的大量处理能力导致系统体积庞大。这降低了系统的机动性和人体工程学。本演示展示了在维护应用程序中使用移动平台上的相机和IMU进行快速姿态估计,以增强现实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmented reality for maintenance application on a mobile platform
Pose estimation is a major requirement for any augmented reality (AR) application. Cameras and inertial measurement units (IMUs) have been used for pose estimation not only in AR but also in many other fields. The level of accuracy and pose update required in an AR application is more demanding than in any other field. In certain AR applications, (maintenance for example) a small change in pose can cause a huge deviation in the rendering of the virtual content. This misleads the user in terms of an object location and can display incorrect information. Further, the huge amount of processing power required for the camera based pose estimation results in a bulky system. This reduces the mobility and ergonomics of the system. This demonstration shows a fast pose estimation using a camera and an IMU on a mobile platform for augmented reality in a maintenance application.
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