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- W2955751409 abstract "In this paper we present a novel approach for using industrial grade ultrasonic sensors to perform echolocation by detecting ultrasonic echoes using machine learning. We show how this methodology is robust against the influence of ultrasonic noise sources in the environment as well as undesired reflections coming from the terrain. Several noise sources and noise powers are assessed as well as different terrain types. The results are benchmarked against the state of art energy thresholding and matched filters correlation algorithms clearly showing the superiority of the machine learning based approach." @default.
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- W2955751409 date "2019-04-01" @default.
- W2955751409 modified "2023-10-01" @default.
- W2955751409 title "A Machine Learning Approach for Detecting Ultrasonic Echoes in Noisy Environments" @default.
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- W2955751409 doi "https://doi.org/10.1109/vtcspring.2019.8746680" @default.
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