Evaluation of MEMS sensors accuracy for bicycle tracking and positioning

Shahjahan Miah, Ioannis Kaparias, Panos Liatsis

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

4 Scopus citations

Abstract

Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it offers in terms of space consumption, health and environmental sustainability. However, cycling is still also perceived as relatively unsafe, and therefore it has yet to be adopted as a real alternative to the private car. Rising accident numbers, unfortunately, confirm this perception as reality, with a particular source of hazard (and a significant proportion of collisions) appearing to originate from the interaction of cyclists with Heavy Vehicles (HVs). For this purpose, the Cyclist 360° Alert system is currently being developed as a novel technological solution aimed at preventing cyclist-HV collisions. As an integral part of Cyclist 360° Alert, this paper focuses on measurements of steering angles using low-cost MEMS sensors based on a motorized two-axis rotational platform. The paper evaluates the accuracy for Tri-axis MEMS inertial sensors and validates the accuracy of the sensors' angles by utilizing an absolute encoder as the reference signal.

Original languageBritish English
Title of host publication2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015
EditorsShahjahan Miah, Alena Uus, Panos Liatsis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages299-303
Number of pages5
ISBN (Electronic)9781467383530
DOIs
StatePublished - 30 Oct 2015
Event22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015 - London, United Kingdom
Duration: 10 Sep 201512 Sep 2015

Publication series

Name2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015

Conference

Conference22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015
Country/TerritoryUnited Kingdom
CityLondon
Period10/09/1512/09/15

Keywords

  • Bicycle
  • Complementary filter
  • Cyclist
  • GY80
  • IMU
  • Instrumentation
  • Kalman filter
  • Localization
  • MEMS sensors
  • Path tracking
  • Safety

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