Recent Advances in Robotics and Automation pp 171-181

Part of the Studies in Computational Intelligence book series (SCI, volume 480)

Optical-Inertial Tracking System with High Bandwidth and Low Latency

  • Göntje C. Claasen
  • Philippe Martin
  • Frédéric Picard
Chapter

Abstract

We propose an optical-inertial tracking system for a servo-controlled handheld tool in a computer-assisted surgery system. We present a mathematical system description and a data fusion algorithm which integrates data from optical and inertial sensors. The algorithm is a right-invariant Extended Kalman Filter (EKF) which takes into account system symmetries to improve the filter convergence. The tracking system has a high bandwidth thanks to the inertial sensors and a low latency thanks to a direct approach where sensor data is used directly in the data fusion algorithm without previous computations. Experimental data show that the optical-inertial system can indeed track a moving object.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Göntje C. Claasen
    • 1
  • Philippe Martin
    • 1
  • Frédéric Picard
    • 2
  1. 1.Centre Automatique et Systèmes, MINES ParisTechParisFrance
  2. 2.Department of Orthopaedics Golden Jubilee National HospitalGlasgowUK

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