Outdoor positioning system with edge computing

This paper extends on the work of implementing localization strategies as mentioned above on embedded systems, in particular using Visual-Inertial Odometry (VIO) together with SLAM, with the aim of achieving adequate real-world performance on these low power embedded systems.

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Bibliographic Details
Main Author: Kiang, Bryan Quan Hong
Other Authors: Lam Siew Kei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148244
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1482442021-04-29T01:13:38Z Outdoor positioning system with edge computing Kiang, Bryan Quan Hong Lam Siew Kei School of Computer Science and Engineering ASSKLam@ntu.edu.sg Engineering::Computer science and engineering This paper extends on the work of implementing localization strategies as mentioned above on embedded systems, in particular using Visual-Inertial Odometry (VIO) together with SLAM, with the aim of achieving adequate real-world performance on these low power embedded systems. Bachelor of Engineering (Computer Engineering) 2021-04-29T01:13:37Z 2021-04-29T01:13:37Z 2021 Final Year Project (FYP) Kiang, B. Q. H. (2021). Outdoor positioning system with edge computing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148244 https://hdl.handle.net/10356/148244 en 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::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Kiang, Bryan Quan Hong
Outdoor positioning system with edge computing
description This paper extends on the work of implementing localization strategies as mentioned above on embedded systems, in particular using Visual-Inertial Odometry (VIO) together with SLAM, with the aim of achieving adequate real-world performance on these low power embedded systems.
author2 Lam Siew Kei
author_facet Lam Siew Kei
Kiang, Bryan Quan Hong
format Final Year Project
author Kiang, Bryan Quan Hong
author_sort Kiang, Bryan Quan Hong
title Outdoor positioning system with edge computing
title_short Outdoor positioning system with edge computing
title_full Outdoor positioning system with edge computing
title_fullStr Outdoor positioning system with edge computing
title_full_unstemmed Outdoor positioning system with edge computing
title_sort outdoor positioning system with edge computing
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148244
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