MagPIE: A dataset for indoor positioning with magnetic anomalies

David Hanley, Alexander B. Faustino, Scott D. Zelman, David A. Degenhardt, Timothy Bretl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this paper, we present a publicly available dataset for the evaluation of indoor positioning algorithms that use magnetic anomalies. Our dataset contains IMU and magnetometer measurements along with ground truth position measurements that have centimeter-level accuracy. To produce this dataset, we collected over 13 hours of data (51 kilometers of total distance traveled) from three different buildings, with sensors both handheld and mounted on a wheeled robot, in environments with and without changes in the placement of objects that affect magnetometer measurements ("live loads”). We conclude the paper with a discussion of why these characteristics of our dataset are important when evaluating positioning algorithms.
Original languageEnglish
Title of host publication2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)978-1-5090-6299-7
ISBN (Print)978-1-5090-6300-0
DOIs
Publication statusPublished - 18 Sept 2017
Event8th International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Sapporo, Japan
Duration: 18 Sept 201721 Sept 2017

Publication series

Name
ISSN (Electronic)2471-917X

Conference

Conference8th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
Country/TerritoryJapan
CitySapporo
Period18/09/1721/09/17

Keywords / Materials (for Non-textual outputs)

  • Magnetic Localization
  • Indoor Localization
  • Dataset
  • Comparison of Methods

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