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

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 (US)
Title of host publication2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781509062980
DOIs
StatePublished - Nov 20 2017
Event2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017 - Sapporo, Japan
Duration: Sep 18 2017Sep 21 2017

Publication series

Name2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017
Volume2017-January

Other

Other2017 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2017
CountryJapan
CitySapporo
Period9/18/179/21/17

Keywords

  • Comparison of methods
  • Dataset
  • Indoor localization
  • Magnetic localization

ASJC Scopus subject areas

  • Control and Optimization
  • Instrumentation
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'MagPIE: A dataset for indoor positioning with magnetic anomalies'. Together they form a unique fingerprint.

Cite this