Multi sensor fusion for precious indoor location tracking using Android and machine learning
Indoor navigation using Android phone
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Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/157754 |
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sg-ntu-dr.10356-1577542023-07-07T19:02:56Z Multi sensor fusion for precious indoor location tracking using Android and machine learning Liu, Wei Law Choi Look School of Electrical and Electronic Engineering ECLLAW@ntu.edu.sg Engineering::Electrical and electronic engineering Indoor navigation using Android phone Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-22T10:08:54Z 2022-05-22T10:08:54Z 2022 Final Year Project (FYP) Liu, W. (2022). Multi sensor fusion for precious indoor location tracking using Android and machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157754 https://hdl.handle.net/10356/157754 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering |
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Engineering::Electrical and electronic engineering Liu, Wei Multi sensor fusion for precious indoor location tracking using Android and machine learning |
description |
Indoor navigation using Android phone |
author2 |
Law Choi Look |
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Law Choi Look Liu, Wei |
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Final Year Project |
author |
Liu, Wei |
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Liu, Wei |
title |
Multi sensor fusion for precious indoor location tracking using Android and machine learning |
title_short |
Multi sensor fusion for precious indoor location tracking using Android and machine learning |
title_full |
Multi sensor fusion for precious indoor location tracking using Android and machine learning |
title_fullStr |
Multi sensor fusion for precious indoor location tracking using Android and machine learning |
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Multi sensor fusion for precious indoor location tracking using Android and machine learning |
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multi sensor fusion for precious indoor location tracking using android and machine learning |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/157754 |
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1772827989214494720 |