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Research on the application of rectangle object constraint in active vision of mobile robot

机译:矩形对象约束在移动机器人主动视觉中的应用研究

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In this paper, the method of indoor mobile robot's visual localization is studied. In an active vision system, the robot equipped with a camera can be controlled and regulated in two degree of freedom platform, the camera optical axis always points to the center of the target to ensure mobile robot can be precisely positioned in large field motion. In this paper, a method based on rectangular object constraint is used to measure the pose and position of the camera, and then the pose and position of robot itself were calculated by using the translation parameters of the camera and yaw and pitch angles of platform feedback, precise pose and position of robot will be gotten. Experimental results verify the effectiveness of the method. What the authors do is solving the FOV problem and applying rectangular target constraint location method in active vision system.
机译:本文研究了室内移动机器人的视觉定位方法。在主动视觉系统中,可以在两个自由度平台上对配备有摄像头的机器人进行控制和调节,摄像头的光轴始终指向目标的中心,以确保可在大视野运动中精确定位移动机器人。本文采用一种基于矩形对象约束的方法来测量摄像机的姿态和位置,然后利用摄像机的平移参数和平台反馈的偏航角和俯仰角来计算机器人本身的姿态和位置。 ,将获得机器人的精确姿势和位置。实验结果证明了该方法的有效性。作者要做的是解决FOV问题,并在主动视觉系统中应用矩形目标约束定位方法。

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