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    一种基于单目视觉的立体光源信标配准算法

    An Efficient Stereo Lighted Beacon Registration for Monocular Camera

    • 摘要: 针对有限纹理特征的合作光源信标以及单目相机的深度丢失问题,基于正方立体条框的光源信标分布条件,提出了一种快速的光源信标配准算法。该算法将2D-3D信标配准解耦为2D-2D基准平面信标的非迭代配准以及非基准平面信标的重投影估计配准。在基准平面的配准中,设计了一组由若干光源信标组成的标识基准角及其提取算法,并通过有权无向连接图的建立以及最大环的搜索,保证算法的鲁棒性。非基准平面配准则利用平面配准后完成位姿估计,进而计算光源信标的重投影点,并利用最近邻准则完成配准。通过仿真实验验证,该配准算法能够适应相机视角于俯仰偏航100°内的大范围变化,并能够于平均耗时200 ms内以100%的正确率完成150个光源信标的一对一配准。为无人机等设备的实时相对导航定位以及位姿测量提供可靠信息基础。

       

      Abstract: A high efficient lighted beacons registration algorithm is proposed to address the limited texture features of cooperative lighted beacons and the depth loss issues with monocular cameras. The algorithm is developed based on the actual distribution environment of beacons within a cubic stereo frame. The algorithm decouples the 2D-3D beacons registration into non-iterative registration of 2D-2D reference plane beacons and reprojection estimation registration of non-reference plane beacons. In the registration of the reference plane, a set of identification reference angles composed of several lighted beacons and their extraction algorithm are designed, ensuring the robustness of the algorithm through the establishment of a weighted connection graph and the search for the maximum cycle. The non-reference plane registration completed after plane registration to calculate the beacon reprojection points by pose estimation, and registration is completed by nearest neighbour search. Simulation experiments confirmed that the algorithm could adapt to a wide range of camera view angle variations, and it is able to complete the registration of 150 lighted beacons with 100% accuracy in an average of 150ms.

       

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