DOI QR코드

DOI QR Code

모바일 로봇을 위한 RFID 센서공간에서 효율적인 위치인식 알고리즘

An Efficient Localization Algorithm for Mobile Robots in RFID Sensor Space

  • 발행 : 2007.10.01

초록

This paper proposes an efficient localization algorithm in the RFID sensor space for the precise localization of a mobile robot. The RFID sensor space consists of embedded sensors and a mobile robot. The embedded sensors, that is tags are holding the absolute position data and provide them to the robot which carries a reader and requests the absolute position fur localization. The reader, it is called as antenna usually, gets several tag data at the same time within its readable range. It takes time to read all the tags and to process the data to estimate the position, which is a major factor to deteriorate the localization accuracy. In this paper, an efficient algorithm to estimate the position and orientation of the mobile robot as quickly as possible has been proposed. Along with the algorithm, a new allocation of the tags in the RFID sensor space is also proposed to improve the localization accuracy. The proposed algorithms are demonstrated and verified through the real experiments.

키워드

참고문헌

  1. D. Hahnel, W. Burgard, D. Fox, K. Fishkin, and M. Philipose, 'Mapping and localization with RFlD technology,' in Proc. IEEE Int. Conf. on Robotics and Automation, vol. 1, pp. 1015-1020, Apr. 2004
  2. J. L. M. Flores, S. S. Srikant, B. Sareen, and A. Vagga, 'Performance of RFlD tags in near and far field,' in Proc. IEEE Int. Conf on Presonal Wireless Communications, pp. 353-357, Jan. 23-25. 2005
  3. O. Kubitz, M. O. Berger, M. Perlick, and R Dumoulin, 'Application of radio frequency identification devices to support navigation of autonomous mobile robots,' in IEEE Conf. Vehicular Technology, vol. 1, pp. 126-130, 1997
  4. V. Kulyukin, C. Gharpure, J. Nicholson, and S. Pavithran, 'RFID in robot-assisted indoor navigation for the visually impaired,' in Proc. IEEE/RSJ Int. Conf. Intelligent Robots, Systems, pp.1979-1984,2004
  5. K. Yamano, K. Tanaka, M. Hirayma, E. Kondo, Y. Kimuro, and M. Matsumoto, 'Self-localization of mobile robots with RFTD system by using support vector machine,' in Proc. IEEE/RSJ Int. Conf. on Intelligent Robots nd Systems, vol. 4, pp. 3756-3761, Sep. 28-Oct. 2, 2004
  6. K. Ohno, T. Tsubouchi, B. Shigematsu, S. Maeyama, and S. Yuta, 'Outdoor navigation of a mobile robot between buildings based on DGPS and odometry data fusion,' in Proc. IEEE Int. Conf. on Robotics and Automation, pp. 1978-1984, Sept. 2003
  7. K. Komoriya and E. Oyama, 'Position estimation of a mobile robot using optical fiber gyroscope,' in Proc. IEEF/RSJ/GI Int. Conf. on Intelligent Robots and Systems, vol. 1, pp. 143-149, Sep. 12-16, 1994
  8. K. Nagatani, Y. Iwai, and Y. Tanaka, 'Sensor based navigation for car-like mobile robots using generalized Voronoi graph,' in Proc. IEEE Int. Conf. on Robotics and Automation, vol. 3, pp. 3068-3073, May 11-15,2002
  9. J.-H. Lee and Hideki Hashimoto, 'Controlling mobile robots in distributed intelligent sensor network,' IEEE Transaction on Industrial Electronics, vol. 50, no. 5, pp. 890-902, Oct. 2003 https://doi.org/10.1109/TIE.2003.817488
  10. Suresh Shenoy and Jindong Tan, 'Simultaneous localization and mobile robot navigation in a hybrid sensor network,' in Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 1636-1641, Aug. 2-6, 2005
  11. Heesung Chae and Kyuseo Han, 'Combination of RFID and vision for mobile robot localization,' in Proc. IEEE Int. Conf. on Intelligent Sensors, Sensor Networks and Irformation Processing, pp. 75-80, 5-8 Dec. 2005

피인용 문헌

  1. Localization of Mobile Robot using Active Landmark vol.9, pp.1, 2008, https://doi.org/10.5762/KAIS.2008.9.1.064