稳健的六自由度沉浸式导航使用商品硬件

L. Carozza, F. Bosché, M. A. Wahab
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引用次数: 7

摘要

在本文中,我们提出了一种新的视觉惯性六自由度定位方法,可以直接集成到可穿戴式沉浸式系统中进行仿真和训练。在这种情况下,虽然CAVE环境通常需要复杂且昂贵的设置,但我们的方法依赖于商品硬件提供的视觉和惯性信息,即消费者单目相机和惯性测量单元(IMU)。我们提出了一种基于最先进的基于图像的定位和传感器融合方法的新型鲁棒管道。一种松耦合的传感器融合方法,利用来自IMU的鲁棒方向信息,用于处理视觉跟踪中的故障(例如,由于相机快速运动),以限制运动抖动。在目视跟踪中断后,提供快速、平稳的位置重新定位,保证继续运行。然后使用6-DOF信息在立体头戴式显示器上呈现一致的VR内容。该系统以30帧/秒的速度在标准PC上运行,并且需要非常有限的设置来实现其预期的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust 6-DOF immersive navigation using commodity hardware
In this paper we present a novel visual-inertial 6-DOF localization approach that can be directly integrated in a wearable immersive system for simulation and training. In this context, while CAVE environments typically require complex and expensive set-up, our approach relies on visual and inertial information provided by commodity hardware, i.e. a consumer monocular camera and an Inertial Measurement Unit (IMU). We propose a novel robust pipeline based on state-of-the-art image-based localization and sensor fusion approaches. A loosely-coupled sensor fusion approach, which makes use of robust orientation information from the IMU, is employed to cope with failures in visual tracking (e.g. due to camera fast motion) in order to limit motion jitters. Fast and smooth re-localization is also provided to track position following visual tracking outage and guarantee continued operation. The 6-DOF information is then used to render consistently VR contents on a stereoscopic HMD. The proposed system, demonstrated in the context of Construction, runs at 30 fps on a standard PC and requires a very limited set-up for its intended application.
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