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Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models

This paper studies the problem of detecting human beings in non-line-of-sight (NLOS) conditions using an ultra-wideband radar. We perform an extensive measurement campaign in realistic environments, considering different body orientations, the obstacles’ materials, and radar–obstacle distances. We e...

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Principais autores: Gianluca Moro, Federico Di Luca, Davide Dardari, Giacomo Frisoni
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-02-01
Serier:Sensors
Fag:
ultra-wideband (UWB)
non-line-of-sight (NLOS)
machine learning
transfer learning
human detection
Online adgang:https://www.mdpi.com/1424-8220/22/4/1656
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