科研成果详情

针对传统基于图像的视觉伺服在处理摄像机退化等方面存在的不足,研究了融合三维特征与二维特征的图像视觉伺服方法。通过在经典IBVS（Image based visual servoing）控制结构基础上,将二维图像特征重构为三维特征,建立了模型化的3D特征机器人视觉伺服控制模型,并通过Simulink等仿真工具,分析比较了2种方法在图像空间和笛卡尔空间的空间运动特性,试验结果证实了方法的可行性和有效性。 

To overcome the defect of camera retreat in image based visual servoing, a model-based visual servoing incorporated 2D image based visual servoing with 3D features was proposed. The robot visual servoing model was established by altering traditional two dimensional feature to three dimensional features based on traditional IBVS control structure. Furthermore, combined with the Simulink software, simulation model was established and motion characteristics of two methods were analyzed and compared in image space and Cartesian space. The experiment results confirm the feasibility and effectiveness of the proposed method.