@inproceedings{996c098d3aa042148e1c9feb9a8102e0,
title = "Real-time sensor-fusion based indoor localization for mobile Augmented Reality",
abstract = "In this paper we propose a sensor fusion based indoor localization method for mobile Augmented Reality (MAR). The aim of this research is to provide fine-tuning of the line feature based localization to accuracy of centimeter-level by exploring multi-modality of a mobile device. In order to match with line features from the captured scene and the given floor map, a line-based indoor scene analysis is proposed with Manhattan world assumption. An efficient pairwise line matching method using corresponding compass sensor data is presented to yield accurate localization and registration for MAR. Experimental results demonstrated that the proposed method is able to provide real-time performance and robustness in indoor environment.",
keywords = "indoor localization, mobile Augmented Reality, scene analysis, sensor-fusion method",
author = "Jinki Jung and Suwon Lee and Hyeopwoo Lee and Yang, {Hyun S.} and Luis Weruaga and Jamal Zemerly",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 20th International Conference on Virtual Systems and Multimedia, VSMM 2014 ; Conference date: 09-12-2014 Through 12-12-2014",
year = "2014",
doi = "10.1109/VSMM.2014.7136688",
language = "British English",
series = "Proceedings of the 2014 International Conference on Virtual Systems and Multimedia, VSMM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "184--191",
editor = "Sarah Kenderdine and Harold Thwaites and Jeffrey Shaw",
booktitle = "Proceedings of the 2014 International Conference on Virtual Systems and Multimedia, VSMM 2014",
address = "United States",
}