Paper Abstract and Keywords |
Presentation |
2012-05-14 15:10
Ego-motion tracking system for seamless combination of indoor navigation and augmented reality exhibits Takashi Okuma, Koji Makita, Tomoya Ishikawa, Masakatsu Kourogi (AIST), Thomas Vincent, Laurence Nigay (Univ. Joseph Fourier), Takeshi Kurata (AIST) MVE2012-2 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper describes a system that shows AR content for supporting user’s activities in indoor environment. We aimed to design contextual sensitive user interface for AR applications using AR widgets that help us develop user interfaces of AR systems. One of the most important information that can use for understanding user’s context is user’s position and orientation in the environment. Our system combines ego-motion tracking method based on Pedestrian Dead Reckoning (PDR) and Vision-based tracking method. These two methods are complementary each other because PDR can reduce the cost for matching with image data bases in the vision-based tracking, and once we can get the position information from vision-based tracking, we can correct the accumulative error of the PDR method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
pedestrian dead reckoning / vision-based tracking / AR exhibits / indoor navigation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 25, MVE2012-2, pp. 23-28, May 2012. |
Paper # |
MVE2012-2 |
Date of Issue |
2012-05-07 (MVE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MVE2012-2 |