DOI QR코드

DOI QR Code

3D Environment Perception using Stereo Infrared Light Sources and a Camera

스테레오 적외선 조명 및 단일카메라를 이용한 3차원 환경인지

  • 이수용 (홍익대학교 기계시스템디자인공학과) ;
  • 송재복 (고려대학교 기계공학과)
  • Published : 2009.05.01

Abstract

This paper describes a new sensor system for 3D environment perception using stereo structured infrared light sources and a camera. 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 two projected infrared light sources 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. Two successive captures of the image with left and right infrared light projection provide several benefits, which include wider area of depth measurement, higher spatial resolution and the visibility perception.

Keywords

References

  1. J. Pages, J. Salvi, R. Garcia, and C. Matabosch, 'Overview of coded light projection techniques for automatic 3D profiling' IEEE International Conference on Robotics &Automation, vol. 1, pp. 133-138, Sep. 2003
  2. S. B. Gokturk, H. Yalcin, and C. Bamji, 'A time-of-flight depth sensor - system description, issues and solutions' IEEE Computer Society Cmgerence on Computer Vision and Pattern Recognition Workshops (CVPRW'04), pp. 35- 43, June 2004
  3. T. Oggiel; P. Seiv, 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), ER Messina and AM. Meystel, Gaitherburg, USmAug. 2004
  4. J. W. Weingarten, G Gruener, and R. Siegwart, 'A state-of-theart 3D sensor for robot navigation' IEE&RSJ International Conference on Intelligent Robots and Systems, vol. 3, pp. 2155- 2160, Oct. 2004 https://doi.org/10.1109/IROS.2004.1389728
  5. 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 Mechotronics, Dec. 2006 https://doi.org/10.1109/RAMECH.2006.252665
  6. H. Kawasaki, Y. Ohsawa, R Furukawa, and Y. Nakamura, 'Coded structured light based uncalibrated stereo system' ICCV2005 International Coference on Computer Vision, 2005
  7. 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
  8. 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
  9. 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 (3DIM99), pp. 24-33, Oct. 1999 https://doi.org/10.1109/IM.1999.805331
  10. 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 Coriference on Robotics and Automation, pp. 1859-1864, April 2005
  11. M. L. L. Reiss, A. M. G Tommaselli, C. N. C. Kokubum, 'A low cost structured light system' WSCG International Conferences in Central Ewvpe on Computer Graphics, Visualization and Computer Vision(Winter School of Computer Graphics), 2005
  12. J. H. Ryu, S. H. Yun, K. J. Song, J. D. Cho, J. M. Choi, and S. H. Lee, 'High speed 3D IR scanner for home service robots' IEICE Transactions of Fundamentals, vol. E89-A, no. 3, pp. 678-685, March 2006 https://doi.org/10.1093/ietfec/e89-a.3.678
  13. 김인철, 이수용, '적외선 조명 및 단일카메라를 이용한 입체거리 센서의 개발,' 제어.로봇.시스템학회 논문지, 제14권 제10호, pp.1005-1013,2008 https://doi.org/10.5302/J.ICROS.2008.14.10.1005