Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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3D Range Measurement using Infrared Light and a Camera

적외선 조명 및 단일카메라를 이용한 입체거리 센서의 개발

  • 김인철 (삼성전자 LCD사업부) ;
  • 이수용 (홍익대학교 기계시스템디자인공학과)
  • Published : 2008.10.01
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Abstract

This paper describes a new sensor system for 3D range measurement using the structured infrared light. Environment and obstacle sensing is the key issue for mobile robot localization and navigation. Laser scanners and infrared scanners cover $180^{\circ}$ and are accurate but too expensive. Those sensors use rotating light beams so that the range measurements are constrained on a plane. 3D measurements are much more useful in many ways for obstacle detection, map building and localization. Stereo vision is very common way of getting the depth information of 3D environment. However, it requires that the correspondence should be clearly identified and it also heavily depends on the light condition of the environment. Instead of using stereo camera, monocular camera and the projected infrared light are used in order to reduce the effects of the ambient light while getting 3D depth map. Modeling of the projected light pattern enabled precise estimation of the range. Identification of the cells from the pattern is the key issue in the proposed method. Several methods of correctly identifying the cells are discussed and verified with experiments.

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References

  1. J. Heikkila and O. Silven, 'A four-step camera calibration procedure with implicit image correction' IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1106-1112, June 1997
  2. Z. Zhang, 'Flexible camera calibration by viewing a plane from unknown orientations' International Conference on Computer Vision (ICCV'99), vol. 1, pp. 666-673, Sep. 1999
  3. J. Pages, J. Salvi, R. Garcia, and C. Matabosch, 'Overview of coded light projection techniques for automatic 3D profiling' IEEE Ioternatiooal Conference on Robotics &Automation, vol. 1, pp. 133-138, Sep. 2003
  4. S. B. Gokturk, H. Yalcin, and C. Bamji, 'A time-of-flight depth sensor - system description, issues and solutions' IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW'04), pp. 35- 43, June 2004
  5. T. Oggier, P. Seitz, and N. Blanc, 'Miniaturized all-solid-state 3D camera for real-time range imaging' Performance Metrics for Intelligent Systems Workshop, National Institute of Standards and Technology(NIST), E.R. Messina and A.M. Meystel, Gaitherburg, USm Aug. 2004
  6. J. W. Weingarten, G. Gruener, R. Siegwart, 'A state-of-the-art 3D sensor for robot navigation' IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3, pp. 2155-2160, Oct. 2004
  7. D. Um, W. N. P. Hung, 'A novel infrared proximity array sensor for 3D visual sensing: Modeling and applications' IEEE Conference on Robotics, Automation and Mechatronics, Dec. 2006
  8. H. Kawasaki, Y. Ohsawa, R. Furukawa, and Y. Nakamura, 'Coded structured light based uncalibrated stereo system' ICCV2005 International Coferrence on Computer Vision, 2005
  9. M. Hartrumpf and R. Munser, 'Optical three-dimensional measurements by radially symmetric structured light projection' Applied Optics, vol. 36, no. 13, pp. 2923-2928, May 1997 https://doi.org/10.1364/AO.36.002923
  10. G. Saeed and Y. M. Zhang, 'Weld pool surface depth measurement using calibrated camera and structured-light' Measurement Science and Technology, vol. 18, no. 8, pp. 2570-2578, Aug. 2007 https://doi.org/10.1088/0957-0233/18/8/033
  11. R. B. Fisher, A. P. Ashbrook, C. Robertson, and N. Werghi, 'A low-cost range finder using a visually located, structured light source' Proceedings of the 2nd international conference on 3-D digital imaging and modeling (3DIM'99), pp. 24-33, Oct 1999
  12. S. H. Lee, J. M. Choi, S. M. Baek, B. C. Jung, C. S. Choi, H. M. Kim, J. T. Oh, S. S. Oh, D. S. Kim, and J. K. Na, 'A 3D IR camera with variable structured light for home service robots,' IEEE International Conference on Robotics and Automation, pp. 1859-1864, April 2005
  13. M. L. L. Reiss, A. M. G. Tommaselli, C. N. C. Kokubum, 'A low cost structured light system' WSCG, International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision(Winter School of Computer Graphics), 2005
  14. J. Ryu, Student Member, S. H. Yun, K. J. Song, J. D. Cho, J. M. Choi, and S. H. Lee, Nonmembers, 'High speed 3D IR scanner for home service robots' IEICE Trans. Fundamentals, vol. E89-A, no. 3, pp. 678-685, March 2006 https://doi.org/10.1093/ietfec/e89-a.3.678