Semantic 3D Mapping from Deep Image Segmentation
The perception and identification of visual stimuli from the environment is a fundamental capacity of autonomous mobile robots. Current deep learning techniques make it possible to identify and segment objects of interest in an image. This paper presents a novel algorithm to segment the object’s spa...
Main Authors: | Francisco Martín, Fernando González, José Miguel Guerrero, Manuel Fernández, Jonatan Ginés |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/4/1953 |
Similar Items
-
Orchard Mapping with Deep Learning Semantic Segmentation
by: Athanasios Anagnostis, et al.
Published: (2021-05-01) -
Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows Identification
by: Miguel Martin-Abadal, et al.
Published: (2018-01-01) -
Multicriteria Evaluation of Deep Neural Networks for Semantic Segmentation of Mammographies
by: Yoshio Rubio, et al.
Published: (2021-08-01) -
Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps
by: Aaron E. Maxwell, et al.
Published: (2020-12-01) -
Semantic Segmentation for Aerial Mapping
by: Gabriel Martinez-Soltero, et al.
Published: (2020-08-01)