Lightweight and Energy-Aware Monocular Depth Estimation Models for IoT Embedded Devices: Challenges and Performances in Terrestrial and Underwater Scenarios †

The knowledge of environmental depth is essential in multiple robotics and computer vision tasks for both terrestrial and underwater scenarios. Moreover, the hardware on which this technology runs, generally IoT and embedded devices, are limited in terms of power consumption, and therefore, models w...

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Detalles Bibliográficos
Autores principales: Papa, Lorenzo, Proietti Mattia, Gabriele, Russo, Paolo, Amerini, Irene, Beraldi, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966799/
https://www.ncbi.nlm.nih.gov/pubmed/36850825
http://dx.doi.org/10.3390/s23042223

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966799/
https://www.ncbi.nlm.nih.gov/pubmed/36850825
http://dx.doi.org/10.3390/s23042223

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