Deep Learning-Based Object Detection, Localisation and Tracking for Smart Wheelchair Healthcare Mobility

This paper deals with the development of an Advanced Driver Assistance System (ADAS) for a smart electric wheelchair in order to improve the autonomy of disabled people. Our use case, built from a formal clinical study, is based on the detection, depth estimation, localization and tracking of object...

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Detalles Bibliográficos
Autores principales: Lecrosnier, Louis, Khemmar, Redouane, Ragot, Nicolas, Decoux, Benoit, Rossi, Romain, Kefi, Naceur, Ertaud, Jean-Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796357/
https://www.ncbi.nlm.nih.gov/pubmed/33374389
http://dx.doi.org/10.3390/ijerph18010091

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7796357/
https://www.ncbi.nlm.nih.gov/pubmed/33374389
http://dx.doi.org/10.3390/ijerph18010091

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