Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 9-14, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B5-9-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
19 Jul 2012
MONTE-CARLO- SIMULATION FOR ACCURACY ASSESSMENT OF A SINGLE CAMERA NAVIGATION SYSTEM
F. Bethmann and T. Luhmann Jade University of Applied Science Oldenburg, Institute of Applied Photogrammetry and Geoinformatics, Ofener Straße 16-19. 26121 Oldenburg, Germany
Keywords: Medicine, 6DOF-Navigation, Monte-Carlo- Simulation, Single camera solutions, Accuracy assessment Abstract. The paper describes a simulation-based optimization of an optical tracking system that is used as a 6DOF navigation system for neurosurgery. Compared to classical system used in clinical navigation, the presented system has two unique properties: firstly, the system will be miniaturized and integrated into an operating microscope for neurosurgery; secondly, due to miniaturization a single camera approach has been designed. Single camera techniques for 6DOF measurements show a special sensitivity against weak geometric configurations between camera and object. In addition, the achievable accuracy potential depends significantly on the geometric properties of the tracked objects (locators). Besides quality and stability of the targets used on the locator, their geometric configuration is of major importance. In the following the development and investigation of a simulation program is presented which allows for the assessment and optimization of the system with respect to accuracy. Different system parameters can be altered as well as different scenarios indicating the operational use of the system. Measurement deviations are estimated based on the Monte-Carlo method. Practical measurements validate the correctness of the numerical simulation results.
Conference paper (PDF, 911 KB)


Citation: Bethmann, F. and Luhmann, T.: MONTE-CARLO- SIMULATION FOR ACCURACY ASSESSMENT OF A SINGLE CAMERA NAVIGATION SYSTEM, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B5, 9-14, https://doi.org/10.5194/isprsarchives-XXXIX-B5-9-2012, 2012.

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