Mobile robot localization using visual inertial odometry (VIO)

Mobile robot localization using visual inertial odometry (VIO)

The paper evaluates the performance of a VIO algorithms Vins-Mono, Vins-Fusion, MSCKF and Open-Vins using EUROC dataset and self recorded datasets such as NTU dataset.

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Bibliographic Details
Main Author: Chen, Mingyuan
Other Authors: Zhang Dao Hua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Online Access:https://hdl.handle.net/10356/157577
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-157577
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spelling sg-ntu-dr.10356-1575772023-07-07T19:30:36Z Mobile robot localization using visual inertial odometry (VIO) Chen, Mingyuan Zhang Dao Hua School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research John Farid Nasry Henawy EDHZHANG@ntu.edu.sg Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics The paper evaluates the performance of a VIO algorithms Vins-Mono, Vins-Fusion, MSCKF and Open-Vins using EUROC dataset and self recorded datasets such as NTU dataset. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-21T04:51:42Z 2022-05-21T04:51:42Z 2022 Final Year Project (FYP) Chen, M. (2022). Mobile robot localization using visual inertial odometry (VIO). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157577 https://hdl.handle.net/10356/157577 en B2281-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
spellingShingle Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Chen, Mingyuan
Mobile robot localization using visual inertial odometry (VIO)
description The paper evaluates the performance of a VIO algorithms Vins-Mono, Vins-Fusion, MSCKF and Open-Vins using EUROC dataset and self recorded datasets such as NTU dataset.
author2 Zhang Dao Hua
author_facet Zhang Dao Hua
Chen, Mingyuan
format Final Year Project
author Chen, Mingyuan
author_sort Chen, Mingyuan
title Mobile robot localization using visual inertial odometry (VIO)
title_short Mobile robot localization using visual inertial odometry (VIO)
title_full Mobile robot localization using visual inertial odometry (VIO)
title_fullStr Mobile robot localization using visual inertial odometry (VIO)
title_full_unstemmed Mobile robot localization using visual inertial odometry (VIO)
title_sort mobile robot localization using visual inertial odometry (vio)
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157577
_version_ 1772827108054138880

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