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Accuracy of Measuring Camera Position by Marker Observation
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Journal of Software Engineering and Applications·Volume 03 (2010)·Pages 906–913·Published 28 October 2010·DOI10.4236/jsea.2010.310107
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Abstract
A lower bound to errors of measuring object position is constructed as a function of parameters of a monocular computer vision system (CVS) as well as of observation conditions and a shape of an observed marker. This bound justifies the specification of the CVS parameters and allows us to formulate constraints for an object trajectory based on required measurement accuracy. For making the measurement, the boundaries of marker image are used.
KeywordsComputer Vision SystemCamera Position MeasurementMarker ObservationLower Bound to Errors
- C. De Wagter and J. A. Mulder, “Towards Vision-Based UAV Situation Awareness,” Proceedings of the AIAA Guidance, Navigation, and Control Conference, San Francisco, California, August 2005, pp. AIAA-2005-5872.
- S. Saripalli, J. F. Montgomery and G. S. Sukhatme, “Visually-Guided Landing of an Unmanned Aerial Vehicle,” IEEE Transactions on Robotics and Automation, Vol. 19, No. 3, June 2003, pp. 371-380.
- S. Saripalli and G. S. Sukhatme, “Landing a Helicopter on a Moving Target,” Proceedings of IEEE International Conference on Robotics and Automation (ICRA’2007), Roma, Italy, April 2007, pp. 2030-2035.
- T. Kubota, S. Sawai, T. Misu, T. Hashimoto, J. Kawaguchi and A. Fujiwara, “Autonomous Landing System for MUSES-C Sample Return Mission,” Proceedings of the Fifth International Symposium on Artificial Intelligence, Robotics and Automation in Space (ISAIRAS’99), ESA SP-440, Noordwijk, The Netherlands, June 1999, pp. 615-620.
- C. S. Sharp, O. Shakernia and S. S. Sastry, “A Vision System for Landing an Unmanned Aerial Vehicle,” Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2001), Seoul, Korea, May 2001, pp. 1720-1727.
- C. Akinli, “Semi-Autonomous Terminal Phase Spacecraft Docking Attitude Determination and Control,” 2004. http://cengiz.akinli.org/research/vsgc-2004.pdf
- V. A. Grishin, “Precision Estimation of Camera Position Measurement Based on Docking Marker Observation,” Pattern Recognition and Image Analysis, Vol. 20, No. 3, 2010, pp. 341-348.
- H. Cramer, “Mathematical Methods of Statistics,” Princeton University Press, USA, 1946.
- I. A. Ibragimov and R. Z. Khasiminskii, “Asymptotic Estimation Theory,” Nauka, Moscow, 1979.
- A. B. Kryanev and G. V. Lukin “Mathematical Methods for Processing Indeterminate Data,” Fizmatlit, Moscow, 2003.
- H. L. Van Trees, “Detection, Estimation, and Modulation Theory, Part 1: Detection, Estimation, and Linear Modulation Theory,” John Wiley & Sons Inc., New York, 2001.