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Sensors 2016, 16(1), 17; doi:10.3390/s16010017

HyMoTrack: A Mobile AR Navigation System for Complex Indoor Environments

Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11-188/2, Vienna 1040, Austria
These authors contributed equally to this work.
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Author to whom correspondence should be addressed.
Academic Editor: Kourosh Khoshelham
Received: 30 September 2015 / Revised: 15 December 2015 / Accepted: 17 December 2015 / Published: 24 December 2015
(This article belongs to the Special Issue Sensors for Indoor Mapping and Navigation)
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Abstract

Navigating in unknown big indoor environments with static 2D maps is a challenge, especially when time is a critical factor. In order to provide a mobile assistant, capable of supporting people while navigating in indoor locations, an accurate and reliable localization system is required in almost every corner of the building. We present a solution to this problem through a hybrid tracking system specifically designed for complex indoor spaces, which runs on mobile devices like smartphones or tablets. The developed algorithm only uses the available sensors built into standard mobile devices, especially the inertial sensors and the RGB camera. The combination of multiple optical tracking technologies, such as 2D natural features and features of more complex three-dimensional structures guarantees the robustness of the system. All processing is done locally and no network connection is needed. State-of-the-art indoor tracking approaches use mainly radio-frequency signals like Wi-Fi or Bluetooth for localizing a user. In contrast to these approaches, the main advantage of the developed system is the capability of delivering a continuous 3D position and orientation of the mobile device with centimeter accuracy. This makes it usable for localization and 3D augmentation purposes, e.g. navigation tasks or location-based information visualization. View Full-Text
Keywords: indoor tracking; navigation; localization; augmented reality; mobile indoor tracking; navigation; localization; augmented reality; mobile
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gerstweiler, G.; Vonach, E.; Kaufmann, H. HyMoTrack: A Mobile AR Navigation System for Complex Indoor Environments. Sensors 2016, 16, 17.

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