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Ground Plane Detection Using Homography Matrix

호모그래피행렬을 이용한 노면검출

  • 이기용 (전남대학교 산업공학과(시스템자동화 연구소)) ;
  • 이준웅 (전남대학교 산업공학과(시스템자동화 연구소))
  • Received : 2011.01.24
  • Accepted : 2011.08.17
  • Published : 2011.10.01

Abstract

This paper presents a robust method for ground plane detection in vision-based applications based on a monocular sequence of images with a non-stationary camera. The proposed method, which is based on the reliable estimation of the homography between two frames taken from the sequence, aims at designing a practical system to detect road surface from traffic scenes. The homography is computed using a feature matching approach, which often gives rise to inaccurate matches or undesirable matches from out of the ground plane. Hence, the proposed homography estimation minimizes the effects from erroneous feature matching by the evaluation of the difference between the predicted and the observed matrices. The method is successfully demonstrated for the detection of road surface performed on experiments to fill an information void area taken place from geometric transformation applied to captured images by an in-vehicle camera system.

Keywords

References

  1. J. W. Lee, "A lane-departure identification based on LBPE, hough transform and linear regression," Computer Vision and Image Understanding, vol. 99, no. 3, pp. 359-383, 2005. https://doi.org/10.1016/j.cviu.2005.03.002
  2. K. Y. Lee and J. W. Lee, "Geometric transformation of images and estimation of road-surface information," IPIU 2009, pp. 99-103, 2009.
  3. Y. Ma, S. Soatto, J. Kosecka, and A. A. Sastry, An Introduction to 3-D Vision From Images to Geometric Models, Springer, 2004.
  4. J. Zhou and B. Li, "Homography-based ground detection for a mobile robot platform using a single camera," IEEE Int. Conf. on Robotics and Automation, pp. 4100-4105, 2006.
  5. J. Arrospide, L. Salgado, M. Nieto, and R. Mohedano, "Homography-based ground plane detection using a single onboard camera," IEE Intell. Transp. Syst., vol. 10, no. 2, pp. 149-160, 2010.
  6. N. Chumerin and M. M. Van Hulle, "Ground plane estimation based on dense stereo disparity," TProc. Int. Conf. on Neural Networks and Artificial Intelligence, pp. 209-213, 2008.
  7. M. Okutomi, K. Nakano, J. Maruyama, and T. Hara, "Robust estimation of planar regions for visual navigation using sequential stereo images," IEEE Int. Conf. on Robotics and Automation, pp. 3321-3327, 2002.
  8. J. Shi and C. Tomasi, "Good features to track," Proc. of CVPR'94, pp. 593-600, 1994.
  9. J. Y. Bouguet, "Pyramidal implementation of the lucas kanade feature tracker description of the algorithm," Technical report, Intel Corporation, Microprocessor Research Labs, 1999.
  10. R. Y. Tsai, "A versatile camera calibration technique for highaccuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses," IEEE Robotics and Automation, vol. RA-3, no. 4, pp. 323-344, 1987.
  11. K. Y. Lee and J. W. Lee, "Stereo-vision based road slope estimation and free space detection on road," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 4, pp. 346-352, 2011. https://doi.org/10.5302/J.ICROS.2011.17.4.346
  12. J. W. Lee, "Stop-line and crosswalk detection based on blob-," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 17, no. 8, pp. 799-806, 2011. https://doi.org/10.5302/J.ICROS.2011.17.8.799

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