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Estimating Distance of a Target Object from the Background Objects with Electric Image  

Sim, Mi-Young (School of Electrical and Electronic Enginnering, Yonsei University)
Kim, Dae-Eun (School of Electrical and Electronic Enginnering, Yonsei University)
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Abstract
Weakly electric fish uses active sensing to detect the distortion of self-generated electric field in the underwater environments. The active electrolocation makes it possible to identify target objects from the surroundings without vision in the dark sea. Weakly electric fish have many electroreceptors over the whole body surface of electric fish, and sensor readings from a collection of electroreceptors are represented as an electric image. Many researchers have worked on finding features in the electric image to know how the weakly electric fish identify the target object. In this paper, we suggest a new mechanism of how the electrolocation can recognize a given target object among object plants. This approach is based on the differential components of the electric image, and has a potential to be applied to the underwater robotic system for object localization.
Keywords
weakly electric fish; electrolocation; active sensing; underwater environment;
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