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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Bibliographic Details
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
Description
Summary: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.

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