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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Detalles Bibliográficos
Autores principales: Moro, Gianluca, Di Luca, Federico, Dardari, Davide, Frisoni, Giacomo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879265/
https://www.ncbi.nlm.nih.gov/pubmed/35214558
http://dx.doi.org/10.3390/s22041656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8879265/
https://www.ncbi.nlm.nih.gov/pubmed/35214558
http://dx.doi.org/10.3390/s22041656

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