NDLI: Robust 6-DOF immersive navigation using commodity hardware

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Robust 6-DOF immersive navigation using commodity hardware

Content Provider	ACM Digital Library
Author	Bosché, F. Abdel-Wahab, M. Carozza, L.
Abstract	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.
Starting Page	19
Ending Page	22
Page Count	4
File Format	PDF
ISBN	9781450332538
DOI	10.1145/2671015.2671115
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Natural walking Commodity hardware 6-dof navigation Visual-inertial tracking
Content Type	Text
Resource Type	Article

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