Integrating Sensor Models in Deep Learning Boosts Performance: Application to Monocular Depth Estimation in Warehouse Automation

Deep learning is the mainstream paradigm in computer vision and machine learning, but performance is usually not as good as expected when used for applications in robot vision. The problem is that robot sensing is inherently active, and often, relevant data is scarce for many application domains. Th...

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Detalles Bibliográficos
Autores principales: Yoneyama, Ryota, Duran, Angel J., del Pobil, Angel P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923135/
https://www.ncbi.nlm.nih.gov/pubmed/33669506
http://dx.doi.org/10.3390/s21041437

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923135/
https://www.ncbi.nlm.nih.gov/pubmed/33669506
http://dx.doi.org/10.3390/s21041437

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