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Determining distance and shape of an object by 2D image edge detection and distance measuring sensor

机译:通过2D图像边缘检测和距离测量传感器确定物体的距离和形状

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In modern robotics path finding is usually done by storing 3D models of objects into robots memory so the robot can compare the object in front of the camera with the model in its memory while it is trying to navigate between obstacles. With this approach we need 3D model of every object the robot may come into contact with, which is possible only if we confine the robot to a known environment. This paper proposes that path finding for mobile robots be based on 3D extraction of a 2D image edge detection and infrared (IR) distance measuring sensor.
机译:在现代机器人中,通常通过将3D模型存储到机器人存储器中的3D模型来完成,以便机器人可以将相机前面的对象与其内存中的模型进行比较,同时尝试在障碍物之间导航。通过这种方法,我们需要每个物体的3D模型,机器人可以接触,只有当我们将机器人限制在已知环境中时,就可以接触。本文提出了用于移动机器人的路径基于2D图像边缘检测和红外(IR)距离测量传感器的3D提取。

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