首页> 外文会议>2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems >A Simultaneous Hand-Eye Calibration Method for Hybrid Eye-in-Hand/Eye-to-Hand System
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A Simultaneous Hand-Eye Calibration Method for Hybrid Eye-in-Hand/Eye-to-Hand System

机译:手眼/手眼混合系统的同时手眼校准方法

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摘要

A hybrid system with both eye-in-hand and eye-to-hand configurations is often necessary for autonomous exploring equipment, such as ROVs. In order to localize objects accurately and grasp them rapidly, the relationships among the robot base, the end effector, the fixed cameras, and the cameras mounted on the end effector should be calibrated in advance. To achieve these goals, a fast calibration method is proposed in this paper, which could calibrate the hybrid camera system simultaneously. Then the feasibility and robustness of the proposed calibration method are verified by comparing it to the classical two-step method through simulations with different noise levels.
机译:对于自主探索设备(例如ROV),通常需要同时具有手眼和手眼配置的混合系统。为了准确地定位对象并快速抓取它们,应预先校准机器人基座,末端执行器,固定摄像机以及安装在末端执行器上的摄像机之间的关系。为了实现这些目标,本文提出了一种快速校准方法,该方法可以同时校准混合摄像机系统。然后通过模拟不同噪声水平,将其与经典的两步法进行比较,验证了所提出的校准方法的可行性和鲁棒性。

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