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Extraction of relative proximity from electrostatic images using Wide-Field Integration methods

机译:使用广域积分法从静电图像中提取相对接近度

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Weakly electric fish use a self-generated electric field to interrogate the environment around them for obstacles, predators, and prey. These objects appear as spatial perturbations to an electric image formed by electro-receptors which are distributed over their bodies. The influence on an electric image, formed on a simulation model, due to the proximity of wide-field obstacles is derived here from standard principles of electrostatics. Wide-Field Integration (WFI) methods are then applied to perturbed electric images to extract relative position and orientation information, and a static output feedback methodology is presented to achieve local unmapped reflexive obstacle avoidance.
机译:弱电鱼会利用自身产生的电场来讯问其周围的环境,以寻找障碍物,掠食者和猎物。这些物体表现为对由分布在其身体上的电感受器形成的电图像的空间扰动。在此,由于静电场的标准原理,得出了由于宽视场障碍物的接近而对在模拟模型上形成的电图像的影响。然后,将广域积分(WFI)方法应用于受扰动的电子图像,以提取相对位置和方向信息,并提出了一种静态输出反馈方法,以实现局部无映射的自反性避障。

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