Semantic-based mobile robot 3D mapping using deep learning algorithm

Semantic-based mobile robot 3D mapping using deep learning algorithm

Scene understanding ability is crucial for robots to execute high-level tasks related to human-robot interaction, by method named semantic simultaneously localization and mapping (SLAM), robots can obtain such ability. But current semantic SLAM facing many challenges such as illumination change and...

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Main Author: Zhao, Chunyang
Other Authors: Wang Dan Wei
Format: Final Year Project
Language:English
Published: 2019
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Online Access:http://hdl.handle.net/10356/78423
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-78423
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spelling sg-ntu-dr.10356-784232023-07-07T17:16:45Z Semantic-based mobile robot 3D mapping using deep learning algorithm Zhao, Chunyang Wang Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics Scene understanding ability is crucial for robots to execute high-level tasks related to human-robot interaction, by method named semantic simultaneously localization and mapping (SLAM), robots can obtain such ability. But current semantic SLAM facing many challenges such as illumination change and dynamic objects. This final year project is focused on studying 3D semantic mapping part of semantic SLAM, based on this, to build a robust 3D semantic SLAM system in future. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-20T01:38:36Z 2019-06-20T01:38:36Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78423 en Nanyang Technological University 61 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Zhao, Chunyang
Semantic-based mobile robot 3D mapping using deep learning algorithm
description Scene understanding ability is crucial for robots to execute high-level tasks related to human-robot interaction, by method named semantic simultaneously localization and mapping (SLAM), robots can obtain such ability. But current semantic SLAM facing many challenges such as illumination change and dynamic objects. This final year project is focused on studying 3D semantic mapping part of semantic SLAM, based on this, to build a robust 3D semantic SLAM system in future.
author2 Wang Dan Wei
author_facet Wang Dan Wei
Zhao, Chunyang
format Final Year Project
author Zhao, Chunyang
author_sort Zhao, Chunyang
title Semantic-based mobile robot 3D mapping using deep learning algorithm
title_short Semantic-based mobile robot 3D mapping using deep learning algorithm
title_full Semantic-based mobile robot 3D mapping using deep learning algorithm
title_fullStr Semantic-based mobile robot 3D mapping using deep learning algorithm
title_full_unstemmed Semantic-based mobile robot 3D mapping using deep learning algorithm
title_sort semantic-based mobile robot 3d mapping using deep learning algorithm
publishDate 2019
url http://hdl.handle.net/10356/78423
_version_ 1772828842858119168

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