Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Localization of a Mobile Robot Using Ceiling Image with Identical Features

동일한 형태의 특징점을 갖는 천장 영상 이용 이동 로봇 위치추정

  • Noh, Sung Woo (SAFETY TECHNOLOGY YOUFRIEND Co.,Ltd.) ;
  • Ko, Nak Yong (Dept. Electronics Engineering, Chosun University) ;
  • Kuc, Tae Yong (School of Electrical of Electronics Engineering, SungKyunKwan University)
  • Received : 2015.09.17
  • Accepted : 2016.02.25
  • Published : 2016.04.25
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Abstract

This paper reports a localization method of a mobile robot using ceiling image. The ceiling has landmarks which are not distinguishablefrom one another. The location of every landmark in a map is given a priori while correspondence is not given between a detected landmark and a landmark in the map. Only the initial pose of the robot relative to the landmarks is given. The method uses particle filter approach for localization. Along with estimating robot pose, the method also associates a landmark in the map to a landmark detected from the ceiling image. The method is tested in an indoor environment which has circular landmarks on the ceiling. The test verifies the feasibility of the method in an environment where range data to walls or to beacons are not available or severely corrupted with noise. This method is useful for localization in a warehouse where measurement by Laser range finder and range data to beacons of RF or ultrasonic signal have large uncertainty.

본 논문은 천장 영상 정보를 이용한 이동 로봇 위치추정 방법을 제안한다. 지도상에 천장 영상의 랜드 마크의 위치는 미리 알고 있지만, 지도상의 랜드 마크와 감지된 랜드 마크 사이의 대응관계 정보는 주어지지 않는다. 단지, 로봇의 이동 시작 단계에서 랜드 마크들에 대한 상대적인 로봇의 위치가 주어진다. 로봇의 위치 및 천장 영상에서 감지된 특징점의 ID를 찾기 위해 파티클 필터 방법을 이용한다. 제안한 방법을 천장에 동일한 형태의 원형 랜드 마크를 가진 실내 환경에서 실험하여 성능을 검증하였다. 본 논문에서 제안한 위치추정 방법은 레이저 영역 센서에 의해 측정된 벽까지의 거리 또는 RF 나 초음파에 의해 측정된 비이컨까지의 거리 값에 큰 불확실성이 존재하는 물류 창고와 같은 환경에서 사용하기에 적합하다.

Keywords

References

  1. J. Borenstein and L. Feng, "Measurement and correction of systematic odometry errors in mobile robots," IEEE Transactions on Robotics and Automation, Vol. 12, No. 6, pp. 869-880, Dec. 1996. https://doi.org/10.1109/70.544770
  2. S. I. Roumeliotis, and G. A. George, "Bayesian estimation and Kalman filtering: A unified framework for mobile robot localization," Robotics and Automation Proceedings, Vol.3, pp.2985-2992, 2000.
  3. S. W. Noh, "Underwater Robot Localization Method Based on Bayes Filter Using Seabed Terrain information," Ph.D. Thesis, Chosun University, 2014.
  4. C. H. Choi, X. Xiong and B. J. Choi, "Self-Localization of Mobile Robot Using Features on the Ceiling," Proceedings of KIIS Fall Conference, Vol. 20, No. 2, pp 370-372, 2010.
  5. J. S. Lee, Y. C. Lim and Y. J. Ryoo, "Vision - based Self Localization Using Ceiling Artificial Landmark for Ubiquitous Mobile Robot," Journal of Korean Institute of Intelligent Systems, Vol. 15, No. 10, pp 560-566, 2005. https://doi.org/10.5391/JKIIS.2005.15.5.560
  6. C. H Choi and B. J. Choi, "A Study on Fisheye Lens based Features on the Ceiling for Self-Localization," Journal of Korean Institute of Intelligent Systems, Vol. 21, No. 4, pp 442-448, 2011. https://doi.org/10.5391/JKIIS.2011.21.4.442
  7. D. W. Kim, Y. Igor, E.S. Kang and S. Jung, "Design and Control of an Omni-directional Cleaning Robot Based on Landmarks," Journal of Korean Institute of Intelligent Systems, Vol. 23, No. 2, pp 100-106, 2013. https://doi.org/10.5391/JKIIS.2013.23.2.100
  8. H. D. Choi, D. Y. Kim and J. P. Hwang, E. T. Kim, Y. O. Kim, "Ceiling Vision based SLAM using Optical Flow," Proceedings of KIIS Spring Conference 2009, Vol. 19, No. 1, pp 127-129, 2009.
  9. H. D. Choi, D. Y. Kim, J. P. Hwang, E. T. Kim and Y. O. Kim, "Visual SLAM Using Ceiling Boundaries," Proceedings of KIIS Spring Conference 2009, Vol. 19, No. 2, pp 71-73, 2009.
  10. H. Y. Chen, D. Sun, J. Yang and W. Shang, "Orientation correction based monocular SLAM for a mobile robot," Proceedings of the 2008 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp 1378-1383, 2008.
  11. M. K. Jung and J. B. Song, "Robust Global Localization based on Environment map through Sensor Fusion," The Journal of Korea Robotics Society, Vol. 9, No. 2, pp 96-103, 2014. https://doi.org/10.7746/jkros.2014.9.2.096
  12. S. Y. Hwang and J. B. Song, "Monocular vision-based global localization using position and orientation of ceiling features," 2013 IEEE International Conference on Robotics and Automation (ICRA), pp 3785-3790, 2013.
  13. R. O. Duda and P. E. Hart, "Use of the Hough transform to detect lines and curves in pictures," Communications of the ACM, Vol. 15, No. 1, pp. 11-15, 1972. https://doi.org/10.1145/361237.361242
  14. H. D. Choi, D. Y. Kim, J. P. Hwang, E. T. Kim and Y. O. Kim, "A Study on Circular Features on Ceiling for SLAM," Proceedings of KIIS Spring Conference 2009, Vol. 19, No. 2, pp 74-76, 2009.
  15. N. Y. Ko and T. G. Kim, "Indoor Localization of a Mobile Robot Using External Sensor," Journal of Institute of Control, Robotics and Systems, Vol. 16, No. 5, pp.420-427, 2010 . https://doi.org/10.5302/J.ICROS.2010.16.5.420