SoC FPGA Accelerated Sub-Optimized Binary Fully Convolutional Neural Network for Robotic Floor Region Segmentation

In this article, a new Binary Fully Convolutional Neural Network (B-FCN) based on Taguchi method sub-optimization for the segmentation of robotic floor regions, which can precisely distinguish floor regions in complex indoor environments is proposed. This methodology is quite suitable for robot visi...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Chi-Chia, Ahamad, Afaroj, Liu, Pin-He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663486/
https://www.ncbi.nlm.nih.gov/pubmed/33126741
http://dx.doi.org/10.3390/s20216133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663486/
https://www.ncbi.nlm.nih.gov/pubmed/33126741
http://dx.doi.org/10.3390/s20216133

Ejemplares similares