Semantic Segmentation to Develop an Indoor Navigation System for an Autonomous Mobile Robot

Semantic Segmentation to Develop an Indoor Navigation System for an Autonomous Mobile Robot

In this study, a semantic segmentation network is presented to develop an indoor navigation system for a mobile robot. Semantic segmentation can be applied by adopting different techniques, such as a convolutional neural network (CNN). However, in the present work, a residual neural network is imple...

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Bibliographic Details
Main Authors: Daniel Teso-Fz-Betoño, Ekaitz Zulueta, Ander Sánchez-Chica, Unai Fernandez-Gamiz, Aitor Saenz-Aguirre
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Mathematics
Subjects:
indoor navigation
semantic segmentation
fully convolutional networks
obstacle detection
autonomous mobile robot
ResNet
Online Access:https://www.mdpi.com/2227-7390/8/5/855

Internet

https://www.mdpi.com/2227-7390/8/5/855

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