Implementing a Sensor Fusion Algorithm for 3D Orientation Detection with Inertial/Magnetic Sensors

  • Fatemeh Abyarjoo
  • Armando Barreto
  • Jonathan Cofino
  • Francisco R. Ortega
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 313)

Abstract

In this paper a sensor fusion algorithm is developed and implemented for detecting orientation in three dimensions. Tri-axis MEMS inertial sensors and tri-axis magnetometer outputs are used as input to the fusion system. A Kalman filter is designed to compensate the inertial sensors errors by combining accelerometer and gyroscope data. A tilt compensation unit is designed to calculate the heading of the system.

Keywords

Sensors 3D Detection Algorithms filters 

Notes

Acknowledgments

This work was sponsored in part by NFS grants HRD-0833093, and CNS-0959985.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Fatemeh Abyarjoo
    • 1
  • Armando Barreto
    • 1
  • Jonathan Cofino
    • 1
  • Francisco R. Ortega
    • 2
  1. 1.Electrical and Computer Engineering DepartmentFlorida International UniversityMiamiUSA
  2. 2.School of Computing and Information ScienceFlorida International UniversityMiamiUSA

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