Vision-aided indoor pedestrian dead reckoning

Jingjing Yan, Gengen He, Anahid Basiri, Craig Hancock

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Vision-aided inertial navigation has become a very popular method for indoor navigation recently. This popularity is basically due to the development of light-weighted and low-cost Micro Electro-Mechanical Systems (MEMS) as well as advancement and availability of Charged-Couple-Device (CCD) cameras in public indoor areas. While the use of inertial sensors and cameras are challenging due to drift accumulation and object detection in line of sight, respectively, the integration of these two sensors can compensate their drawbacks and provide more accurate positioning solutions. This study examines this hypothesis by evaluating the accuracy of the vision-aided systems for indoor positioning and tracking. The novel aspect of this study is to implement inertial and visual sensors in independent platforms other than attached together on the same platform. The other novelty is to integrate digitized floor plans for absolute position information. The mean accuracy of this positioning system is 11% higher than uncalibrated inertial positioning during experiment.

Original languageEnglish
Title of host publicationI2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationDiscovering New Horizons in Instrumentation and Measurement, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538622223
DOIs
Publication statusPublished - 10 Jul 2018
Event2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018 - Houston, United States
Duration: 14 May 201817 May 2018

Publication series

NameI2MTC 2018 - 2018 IEEE International Instrumentation and Measurement Technology Conference: Discovering New Horizons in Instrumentation and Measurement, Proceedings

Conference

Conference2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
Country/TerritoryUnited States
CityHouston
Period14/05/1817/05/18

Keywords

  • deep learning
  • indoor optical positioning
  • pedestrian dead reckoning
  • pedestrian detection
  • sensor fusion

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Instrumentation

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