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Relative Translation and Rotation Calibration Between Optical Target and Inertial Measurement Unit

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Sensor Systems and Software (S-CUBE 2016)

Abstract

Cameras and Inertial Measurement Units are widely used for motion tracking and general activity recognition. Sensor fusion techniques, which employ both Vision- and IMU-based tracking, rely on their precise synchronization in time and relative pose calibration. In this work, we propose a novel technique for solving both time and relative pose calibration between an optical target (OT) and an inertial measurement unit (IMU). The optical tracking system gathers 6DoF position and rotation data of the OT and the proposed approach uses them to simulate accelerometer and gyroscope readings to compare them against real ones recorded from the IMU. Convergence into the desired result of relative pose calibration is achieved using the adaptive genetic algorithm.

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Notes

  1. 1.

    ART System User Manual, version 2.1, April 2015.

  2. 2.

    M-G350-PD11 Datasheet, 21 October 2012.

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Correspondence to Manthan Pancholi .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Pancholi, M., Dimitrov, S., Schmitz, N., Lampe, S., Stricker, D. (2017). Relative Translation and Rotation Calibration Between Optical Target and Inertial Measurement Unit. In: Magno, M., Ferrero, F., Bilas, V. (eds) Sensor Systems and Software. S-CUBE 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 205. Springer, Cham. https://doi.org/10.1007/978-3-319-61563-9_15

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  • DOI: https://doi.org/10.1007/978-3-319-61563-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61562-2

  • Online ISBN: 978-3-319-61563-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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