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Qualitative vision for the guidance of legged robots in unstructured environments

机译:在非结构化环境中指导腿式机器人的定性愿景

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摘要

Visual procedures especially tailored to the constraints and requirements of a legged robot are presented. They work for an uncalibrated camera, with pan and zoom, freely moving towards a stationary target in an unstructured environment that may contain independently moving objects. The goal is to dynamically analyse the image sequence in order to extract information about the robot motion, the target position and the environment structure. The development is based on the deformations of an active contour fitted to the target. Experimental results confirm that the proposed approach constitutes a promising alternative to the prevailing trend based on the costly computation of displacement or velocity fields.
机译:介绍了专门针对有腿机器人的约束和要求而设计的视觉程序。它们适用于未经校准的摄像机,具有平移和缩放功能,可以在可能包含独立移动物体的非结构化环境中自由地朝固定目标移动。目的是动态分析图像序列,以提取有关机器人运动,目标位置和环境结构的信息。该开发基于适合目标的活动轮廓的变形。实验结果证实,基于对位移或速度场进行昂贵的计算,所提出的方法可以替代当前的趋势。

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