Data Fusion for Cross-Domain Real-Time Object Detection on the Edge

We investigate an edge-computing scenario for robot control, where two similar neural networks are running on one computational node. We test the feasibility of using a single object-detection model (YOLOv5) with the benefit of reduced computational resources against the potentially more accurate in...

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Detalles Bibliográficos
Autores principales: Kovalenko, Mykyta, Przewozny, David, Eisert, Peter, Bosse, Sebastian, Chojecki, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346650/
https://www.ncbi.nlm.nih.gov/pubmed/37447986
http://dx.doi.org/10.3390/s23136138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346650/
https://www.ncbi.nlm.nih.gov/pubmed/37447986
http://dx.doi.org/10.3390/s23136138

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