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

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...

Full description

Bibliographic Details
Main Authors: Chi-Chia Sun, Afaroj Ahamad, Pin-He Liu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
UGV
Binary Neural Network (BNN)
Fully Convolutional Network (FCN)
Taguchi Method (TM)
SoC-FPGA
floor segmentation
Online Access:https://www.mdpi.com/1424-8220/20/21/6133

Internet

https://www.mdpi.com/1424-8220/20/21/6133

Similar Items