5G system for parking positioning

This research project aims to investigate the potential of 5G technology for precise detection of vehicle locations and parking activities such as vertical and parallel parking. The study is aligned with Singapore's Smart Nation initiative, which leverages on technology to improve the lives of...

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Main Author: Tan, Jack Zhi Hui
Other Authors: Lee Yee Hui
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167164
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1671642023-07-07T18:08:11Z 5G system for parking positioning Tan, Jack Zhi Hui Lee Yee Hui School of Electrical and Electronic Engineering EYHLee@ntu.edu.sg Engineering::Electrical and electronic engineering This research project aims to investigate the potential of 5G technology for precise detection of vehicle locations and parking activities such as vertical and parallel parking. The study is aligned with Singapore's Smart Nation initiative, which leverages on technology to improve the lives of its citizens. The findings of this research project could contribute to modern urban management and address issues such as traffic congestion caused by illegal parking. The study utilizes machine learning algorithms and hardware trials to analyze data collected from three types of vehicles in various parking lots. The study's results demonstrate the impressive capabilities of the algorithm, which achieved an outstanding 98% accuracy in detecting vehicle locations within a timeslot of just one minute. The accuracy of the detection was verified using ground truth taken from Global Positioning System (GPS). The insights gained from the trial results can be used for further implementation such as automation of vehicle charging and providing exact locations for autonomous vehicles and unmanned aerial vehicles (UAV) used for logistics delivery. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-23T13:30:50Z 2023-05-23T13:30:50Z 2023 Final Year Project (FYP) Tan, J. Z. H. (2023). 5G system for parking positioning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167164 https://hdl.handle.net/10356/167164 en B3129-221 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
spellingShingle Engineering::Electrical and electronic engineering
Tan, Jack Zhi Hui
5G system for parking positioning
description This research project aims to investigate the potential of 5G technology for precise detection of vehicle locations and parking activities such as vertical and parallel parking. The study is aligned with Singapore's Smart Nation initiative, which leverages on technology to improve the lives of its citizens. The findings of this research project could contribute to modern urban management and address issues such as traffic congestion caused by illegal parking. The study utilizes machine learning algorithms and hardware trials to analyze data collected from three types of vehicles in various parking lots. The study's results demonstrate the impressive capabilities of the algorithm, which achieved an outstanding 98% accuracy in detecting vehicle locations within a timeslot of just one minute. The accuracy of the detection was verified using ground truth taken from Global Positioning System (GPS). The insights gained from the trial results can be used for further implementation such as automation of vehicle charging and providing exact locations for autonomous vehicles and unmanned aerial vehicles (UAV) used for logistics delivery.
author2 Lee Yee Hui
author_facet Lee Yee Hui
Tan, Jack Zhi Hui
format Final Year Project
author Tan, Jack Zhi Hui
author_sort Tan, Jack Zhi Hui
title 5G system for parking positioning
title_short 5G system for parking positioning
title_full 5G system for parking positioning
title_fullStr 5G system for parking positioning
title_full_unstemmed 5G system for parking positioning
title_sort 5g system for parking positioning
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167164
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