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-  2015 

移动机器人车载摄像机位姿的高精度快速求解
An accurate and fast pose estimation algorithm foron-board camera of mobile robot

DOI: 10.6040/j.issn.1671-9352.0.2014.444

Keywords: 移动机器人,位姿估计,单应矩阵分解,车载摄像机,本质矩阵分解,
pose estimation
,homography matrix decomposition,on-board camera,essential matrix decomposition,mobile robot

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Abstract:

摘要: 在分析移动机器人车载摄像机位姿的特殊性质的基础上,根据摄像机的等效转轴构造辅助旋转矩阵,利用该旋转矩阵将原始待分解本质矩阵和单应矩阵转换为一类简单的、可通过初等数学运算进行分解的本质矩阵和单应矩阵。仿真实验的结果表明,该车载摄像机位姿估计算法较传统方法具有更高的精度和更快的运算速度,对摄像机等效转轴的扰动也具有很好的鲁棒性。此外,分解出的可能解的数目较传统算法减少了一半,且在除诱导单应阵的空间景物平面与地面垂直的情况下,均能直接得到移动机器人的唯一转角,为移动机器人姿态控制提供了极大的便利。
Abstract: An accurate and fast pose estimation problem for on-board camera of mobile robot is investigated. Firstly the special properties of the pose for on-board camera of mobile robot are analyzed. Secondly, an auxiliary rotation matrix is constructed using the on-board camera's equivalent rotation axis, which is utilized to turn the initial essential matrix and homography matrix into a simplified kind that can be decomposed through elementary mathematical operations. Finally, some simulation experiments are designed to verify the algorithm's rapidity, accuracy and robustness. The experimental results show that compared to traditional algorithms, the proposed algorithm can acquire higher accuracy and faster calculating speed, together with the robustness to the disturbance of the on-board camera's equivalent rotation axis. In addition, the number of possible solutions are reduced one half, and the unique rotation angle of the mobile robot can be determined except for the condition that the 3D planar scene structure and the ground are perpendicular, which can provide great convenience for controlling the pose of the mobile robot

References

[1]  LONGUET-HIGGINS H C. A computer program for reconstructing a scene from two projections[J]. Nature, 1981, 293:133-135.
[2]  TSAI R Y, HUANG T S. Uniqueness and estimation of 3D motion parameters of rigid bodies with curved surfaces[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1984, 6:13-27.
[3]  AZUMA R, BAILLOT Y, BEHRINGER R, et al. Recent advances in augmented reality[J]. IEEE Transactions on Computer Graphics and Applications, 2001, 21(6):34-47.
[4]  HARTLEY R I. In defense of the eight-point algorithm[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(6):580-593.
[5]  NISTR D. An efficient solution to the five-point relative pose problem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(6):756-770.
[6]  MA Yi, KOSECK J, SASTRY S. Optimization criteria and geometric algorithms for motion and structure estimation[J]. International Journal of Computer Vision, 2001, 44(3):219-249.
[7]  ZHANG Zhongfei, HANSON A R. 3D reconstruction based on homography mapping[C]// Proceedings of ARPA96.[S.l.]:[s.n.], 1996:1007-1012.
[8]  ZHANG Xuebo, FANG Yongchun, MA Bojun, et al. A fast homography decomposition technique for visual servo of mobile robots[C]//Proceedings of the 27th Chinese Control Conference.Piscataway: IEEE, 2008:404-409.
[9]  MALIS E, VARGAS M. Deeper understanding of the homography decomposition for vision-based control[R]. Research Report INRIA Sophia-Antipolis, 2007.
[10]  FUSIELLO A, TRUCCO E, VERRI A. A compact algorithm for rectification of stereo pairs[J]. Machine Vision and Applications, 2000, 12(1):16-22.
[11]  MALIS E, CHAUMETTE F. 2 1/2 D visual servoing with respect to unknown objects through a new estimation scheme of camera displacement[J]. International Journal of Computer Vision, 2000, 37(1):79-97.
[12]  SILVEIRA G, MALIS E, RIVES P. An efficient direct approach to visual SLAM[J]. IEEE Transactions on Robotics, 2008, 24(5):969-979.
[13]  ZHANG Xue, FANG Yongchun, LIU Xi. Motion-estimation-based visual servoing of nonholonomic mobile robots[J]. IEEE Transactions on Robotics, 2011, 27(6):1167-1175.
[14]  HELMKE U, HPER K, LEE P Y, et al. Essential matrix estimation using Gauss-Newton iterations on a manifold[J]. International Journal of Computer Vision, 2007, 74(2):117-136.
[15]  HARTLEY R I. Estimation of relative camera positions for uncalibrated cameras[C]//Proceedings of 2nd European Conference on Computer Vision. Berlin: Springer-Verlag, 1992: 579-587.
[16]  WANG Wei, TSUI H T. A SVD decomposition of essential matrix with eight solutions for the relative positions of two perspective cameras[C]//Proceedings of the 15th International Conference on Pattern Recognition. Los Alamitos: IEEE Computer Society, 2000, 1:362-365.
[17]  FAUGERAS O D, LUSTMAN F. Motion and structure from motion in a piecewise planar environment[J]. International Journal of Pattern Recognition and Artificial Intelligence, 1988, 2(3):485-508.
[18]  LI Guodong, TIAN Guohui, WANG Hongjun, et al. A fast homography decomposition algorithm in the case of known normal to the scene plane[J]. Control and Decision, 2014, 29(4):735-738.
[19]  李国栋, 田国会, 王洪君. 服务机器人智能空间中QR Code人工地标的设计、定位与识读[J]. 高技术通讯, 2013, 23(12):1275-1283. LI Guodong, TIAN Guohui, WANG Hongjun. Design, localization and recognition of the QR code-based artificial landmark in service robot intelligent space[J]. Chinese High Technology Letters, 2013, 23(12):1257-1283.
[20]  ZHI Qi, COOPERSTOCK J R. Toward dynamic image mosaic generation with robustness to parallax[J]. IEEE Transactions on Image Processing, 2012, 21(1):366-378.
[21]  POLLEFEYS M, KOCH R, VERGAUWEN M, et al. Automated reconstruction of 3D scenes from sequences of images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2000, 55(4):251-267.
[22]  DIXON W E, DAWSON D M, ZERGEROGLU E, et al. Adaptive tracking control of a wheeled mobile robot via an uncalibrated camera system[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2001, 31(3):341-352.
[23]  HARTLEY R, ZISSERMAN A. Multiple view geometry in computer vision[M]. Cambridge:Cambridge University Press, 2003.
[24]  TORR P H S, ZISSERMAN A. MLESAC: a new robust estimator with application to estimating image geometry[J]. Computer Vision and Image Understanding, 2000, 78(1):138-156.

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