@inproceedings{008963203f7c412c9088028de9c7c961,
title = "Using floor plan to calibrate sensor error for indoor localization",
abstract = "Some prior studies proposed the use of Pedestrian Dead Reckoning (PDR) for indoor localization, in which a small number of inertial sensors are put on the pedestrian. These sensors (such as a G-sensor and gyroscope) are used to estimate the distance and direction that a user travels. The effectiveness of a PDR system lies in its success in accurately estimating the user's moving distance and direction. In this work, we design a map matching algorithm to calibrate the sensor errors using building floor plans. The results of our experiment show that we can achieve an overall location error of about 0.48 meter.",
keywords = "ZUPT, floor plan, map matching, pedestrian dead reckoning, simple harmonic motion, waist-mounted",
author = "Lan, {Kun Chan} and Shih, {Wen Yuah}",
year = "2013",
doi = "10.1109/ICTC.2013.6675461",
language = "English",
isbn = "9781479906987",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "718--723",
booktitle = "2013 International Conference on ICT Convergence",
address = "United States",
note = "2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 ; Conference date: 14-10-2013 Through 16-10-2013",
}