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자기센서를 이용한 위치추정 정밀도 향상 방안에 관한 연구

A Study on the Method for Improving the Localization Accuracy using the Magnetic Sensors

  • 김정태 (한국철도기술연구원 광역도시교통연구본부) ;
  • 김무선 (한국철도기술연구원 광역도시교통연구본부) ;
  • 홍재성 (한국철도기술연구원 광역도시교통연구본부)
  • Kim, Jungtai (Metropolitan Transportation Research Center, Korea Railroad Research Institute) ;
  • Kim, Moo Sun (Metropolitan Transportation Research Center, Korea Railroad Research Institute) ;
  • Hong, Jae Sung (Metropolitan Transportation Research Center, Korea Railroad Research Institute)
  • 투고 : 2013.11.12
  • 심사 : 2014.01.06
  • 발행 : 2014.02.01

초록

Magnetic Sensors can be employed to localize the unmanned vehicle which is running a predefined path where magnets are embedded for certain spaces. Among various sensor types, sensor arrays of 1-dimensional magnetic sensor have the merit of easy elimination of external magnetic component such as terrestrial magnetism. However, interpolation should be considered in the array sensors in order to increase the precision level because there is a limit in arranging sensors in close interval. We propose the novel interpolation method which can be performed with simple computation and represents the improved accuracy by increasing the linearity of the interaction formula. Demonstration of the linearity and simulation results show the proposed method exhibits the improved accuracy compared to the conventional method.

키워드

참고문헌

  1. Song, M. G. and Park, Y., "Multi-sensor Data Fusion Methods Based on the Kalman Filter for Attitude and Vibration Control of the Biped Robot," J. Korean Soc. Precis. Eng., Vol. 25, No. 4, pp. 39-46, 2008.
  2. Lee, S., Lim, J., and Cho, D., "A Complete Feature Map Building Method of Sonar Sensors for Mobile Robots," J. Korean Soc. Precis. Eng., Vol. 27, No. 1, pp. 64-75, 2010.
  3. Jeong, J., Kim, Y., and Jung, D., "A Study of the Tracking Control of an Transfer Crane using Nonholonomic Constraint," Int. J. Precis. Eng. Manuf., Vol. 14, No. 10, pp. 1775-1782, 2013. https://doi.org/10.1007/s12541-013-0237-1
  4. Chan, C., "A System Review of Magnetic Sensing System for Ground Vehicle Control and Guidance," PATH Research Reports, UC Berkeley, pp. 1-10, 2002.
  5. Kim, J., Joo, C., and Ryoo, Y., "Performance Improvement of Magnetic Position Sensor for Unmanned Autonomous Vehicle Based on Magnetic Field," Proc. of KIIS Spring Conference, Vol. 18, No. 1, pp. 163-167, 2008.
  6. Peteri, P. H. F. and Siebert, Ralf., "Vehicle and Method for Steering Thereof," US Patent, No. 7451027 B2, Frog Navigation Systems, 2008.
  7. Kwon, J. H., "Analysis of Bearing Estimation Error of the Beamformer," M.Sc. Thesis, Department of Electronics Graduate school, Kyungpook National Univ., 1997.
  8. Jung, S. K., "An Efficient Super Resolution method for Time-series Remotely sensed data," M.Sc. Thesis, Department of Geoinfomatics, University of Seoul, 2010.
  9. Kim, J., Choi, J., Ryu. S., Kim, D., and Sohn, K., "The New Fusion Interpolation for High Resolution Depth Image," Proc. of Korean Soc. Broadcast Eng., 2012.
  10. Jung, Y., Kim, G., and Ryoo, Y., "Magnetic Position Sensing System for Autonomous Vehicle and Robot Guidance," J. Korean Institute of Intelligent Systems, Vol. 17, No. 2, pp. 214-219, 2007. https://doi.org/10.5391/JKIIS.2007.17.2.214
  11. Sherman, S. M., "Monopulse Principles and Techniques," Artech House INC., pp. 23-45, 1984.
  12. Greco, M. S., "Monopulse Rader System," http:// www.iet.unipi.it/m.greco/research/res3.html (Accessed 13 JAN. 2013)
  13. Choi, P., Park, S., Ryoo, Y., and Chang, Y., "Calibration and Cancellation of Earth Field for Magnetic Position Sensor," Proc. of KIIS Spring Conference, Vol. 21, No. 1, pp. 117-118, 2011.