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Design and implementation of an improved real-time tracking system for navigation surgery by fusion of optical and inertial tracking methods

Soroush, A ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.4028/www.scientific.net/AMM.186.273
  3. Publisher: 2012
  4. Abstract:
  5. The fusion of the optical and inertial tracking systems seems an attractive solution to solve the shadowing problem of the optical tracking systems, and remove the time integration troubles of the inertial sensors. We developed a fusion algorithm for this purpose, based on the Kalman filter, and examined its efficacy to improve the position and orientation data, obtained by each individual system. Experimental results indicated that the proposed fusion algorithm could effectively estimate the 2 seconds missing data of the optical tracker
  6. Keywords:
  7. Kalman filter ; Navigation surgery ; Fusion algorithms ; Individual systems ; Inertial sensor ; Inertial tracking ; Missing data ; Optical trackers ; Optical tracking systems ; Orientation data ; Real-time tracking systems ; Sensor fusion ; Time integration ; Algorithms ; Kalman filters ; Manufacture ; Mechanical engineering ; Optimization ; Robotics ; Surgery ; Tracking (position)
  8. Source: Applied Mechanics and Materials ; Volume 186 , 2012 , Pages 273-279 ; 16609336 (ISSN) ; 9783037854440 (ISBN)
  9. URL: http://www.scientific.net/AMM/details